* installing *source* package 'fdaPDE' ...
** package 'fdaPDE' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: 'gcc.exe (GCC) 12.3.0'
using C++ compiler: 'g++.exe (GCC) 12.3.0'
using C++17
make[1]: Entering directory '/d/temp/2024_11_22_01_50_01_16053/Rtmpe2NzCE/R.INSTALL1196c7599131f/fdaPDE/src'
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Density_Estimation/Source/Rfun_Density_Estimation.cpp -o Density_Estimation/Source/Rfun_Density_Estimation.o
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:362,
                 from Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6,
                 from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:4,
                 from Density_Estimation/Source/Rfun_Density_Estimation.cpp:2:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Density_Estimation/Source/../../FdaPDE.h:32,
                 from Density_Estimation/Source/Rfun_Density_Estimation.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Density_Estimation/Source/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Density_Estimation/Source/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<6, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data.h:204,
                 from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:12,
                 from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:12:
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h: In member function 'void DEData_time::setTimes2Locations()':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h:151:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  151 |     for(UInt t = 0; t < times_.size(); ++t)
      |                     ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h:153:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  153 |         for(UInt d = 0; d < data_time_.size(); ++d) {
      |                         ~~^~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h: In member function 'void DEData_time::printData(std::ostream&) const':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h:162:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  162 |     for(int i = 0; i < data_time_.size(); ++i)
      |                    ~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:31:14:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:46:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54:   required from 'class Eigen::SparseLU<Eigen::SparseMatrix<double> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<double> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:104:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:244:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, 1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:344:70:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:16:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:52:55:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:52:57:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:56:41:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:56:41:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:56:41:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:69:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, -1, -1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:165:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:165:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:166:29:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:166:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:221:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:266:69:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:15:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:71:29:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:71:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:74:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:134:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:134:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:134:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:20:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:8:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:8:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:67:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:329:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 6, 3, 0, 6, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 3, 0, 6, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 3, 0, 6, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<1, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 3, 0, 6, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 3, 0, 6, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 3, 0, 6, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 3, 0, 6, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<1, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   68 |         for(UInt j = 0; j < f_init.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<2>, std::allocator<Point<2> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   80 |                 for(UInt i = 0; i < data.size(); i++)
      |                                 ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   85 |         for(UInt i = 0; i < CV_errors.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<2, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<2, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   68 |         for(UInt j = 0; j < f_init.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<2>, std::allocator<Point<2> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   80 |                 for(UInt i = 0; i < data.size(); i++)
      |                                 ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   85 |         for(UInt i = 0; i < CV_errors.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   68 |         for(UInt j = 0; j < f_init.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<3>, std::allocator<Point<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   80 |                 for(UInt i = 0; i < data.size(); i++)
      |                                 ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   85 |         for(UInt i = 0; i < CV_errors.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   68 |         for(UInt j = 0; j < f_init.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<3>, std::allocator<Point<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   80 |                 for(UInt i = 0; i < data.size(); i++)
      |                                 ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   85 |         for(UInt i = 0; i < CV_errors.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 56>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 14, 4, 0, 14, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 4, 0, 14, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 4, 0, 14, 4>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 4, 0, 14, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 4, 0, 14, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 4, 0, 14, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 4, 0, 14, 4>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   68 |         for(UInt j = 0; j < f_init.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<3>, std::allocator<Point<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   80 |                 for(UInt i = 0; i < data.size(); i++)
      |                                 ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   85 |         for(UInt i = 0; i < CV_errors.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 140>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<2, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<2, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   68 |         for(UInt j = 0; j < f_init.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<3>, std::allocator<Point<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   80 |                 for(UInt i = 0; i < data.size(); i++)
      |                                 ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   85 |         for(UInt i = 0; i < CV_errors.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 5, 2, 0, 5, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 5, 2, 0, 5, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 2, 0, 5, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 5, 2, 0, 5, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<1, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   68 |         for(UInt j = 0; j < f_init.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<2>, std::allocator<Point<2> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   80 |                 for(UInt i = 0; i < data.size(); i++)
      |                                 ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   85 |         for(UInt i = 0; i < CV_errors.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 15>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 5, 3, 0, 5, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<2, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 5, 3, 0, 5, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56:   required from 'class DataProblem<2, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   68 |         for(UInt j = 0; j < f_init.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<2>, std::allocator<Point<2> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   80 |                 for(UInt i = 0; i < data.size(); i++)
      |                                 ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   85 |         for(UInt i = 0; i < CV_errors.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~
In file included from Density_Estimation/Source/Rfun_Density_Estimation.cpp:4:
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   45 |                 for(UInt j = 0; j < fInit.size(); j++)
      |                                 ~~^~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:102:43:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:104:43:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:106:43:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:108:43:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:110:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:112:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:114:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
In file included from Density_Estimation/Source/Rfun_Density_Estimation.cpp:3:
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   84 |     for(UInt j = 0; j < f_init.size(); ++j)
      |                     ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<2>, std::allocator<Point<2> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   99 |         for(UInt i = 0; i < data.size(); i++)
      |                         ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  104 |     for(UInt i = 0; i < data_time.size(); ++i)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  110 |     for(UInt i = 0; i < CV_errors.size(); i++)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:170:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   84 |     for(UInt j = 0; j < f_init.size(); ++j)
      |                     ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<2>, std::allocator<Point<2> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   99 |         for(UInt i = 0; i < data.size(); i++)
      |                         ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  104 |     for(UInt i = 0; i < data_time.size(); ++i)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  110 |     for(UInt i = 0; i < CV_errors.size(); i++)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:172:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   84 |     for(UInt j = 0; j < f_init.size(); ++j)
      |                     ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<3>, std::allocator<Point<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   99 |         for(UInt i = 0; i < data.size(); i++)
      |                         ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  104 |     for(UInt i = 0; i < data_time.size(); ++i)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  110 |     for(UInt i = 0; i < CV_errors.size(); i++)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:174:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   84 |     for(UInt j = 0; j < f_init.size(); ++j)
      |                     ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<3>, std::allocator<Point<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   99 |         for(UInt i = 0; i < data.size(); i++)
      |                         ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  104 |     for(UInt i = 0; i < data_time.size(); ++i)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  110 |     for(UInt i = 0; i < CV_errors.size(); i++)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:176:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   84 |     for(UInt j = 0; j < f_init.size(); ++j)
      |                     ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<3>, std::allocator<Point<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   99 |         for(UInt i = 0; i < data.size(); i++)
      |                         ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  104 |     for(UInt i = 0; i < data_time.size(); ++i)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  110 |     for(UInt i = 0; i < CV_errors.size(); i++)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:178:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<const Eigen::Matrix<double, -1, 1>*>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   84 |     for(UInt j = 0; j < f_init.size(); ++j)
      |                     ~~^~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Point<3>, std::allocator<Point<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   99 |         for(UInt i = 0; i < data.size(); i++)
      |                         ~~^~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  104 |     for(UInt i = 0; i < data_time.size(); ++i)
      |                     ~~^~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  110 |     for(UInt i = 0; i < CV_errors.size(); i++)
      |                     ~~^~~~~~~~~~~~~~~~~~
In file included from Density_Estimation/Source/Rfun_Density_Estimation.cpp:5:
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   62 |         for(UInt j = 0; j < fInit.size(); ++j)
      |                         ~~^~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:204:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:206:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:208:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:210:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]':
Density_Estimation/Source/Rfun_Density_Estimation.cpp:212:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:22:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:114:45:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:114:27:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:32:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:116:38:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 72>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\projection.h:47,
                 from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:13:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h: In instantiation of 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:32:20: warning: unused variable 'NNODES' [-Wunused-variable]
   32 |     constexpr UInt NNODES = how_many_nodes(ORDER,mydim);
      |                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 27>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 9, 0, 3, 9>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<1, 2, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<1, 2, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h: In instantiation of 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:32:20: warning: unused variable 'NNODES' [-Wunused-variable]
   32 |     constexpr UInt NNODES = how_many_nodes(ORDER,mydim);
      |                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 108>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 36, 0, 3, 36>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<2, 2, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<2, 2, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 48>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 420>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from 'struct Eigen::internal::traits<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h: In instantiation of 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:32:20: warning: unused variable 'NNODES' [-Wunused-variable]
   32 |     constexpr UInt NNODES = how_many_nodes(ORDER,mydim);
      |                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 6, 1, 1, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 6, 1, 1, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 6, 0, 2, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 6, 0, 2, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<1, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h: In instantiation of 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:32:20: warning: unused variable 'NNODES' [-Wunused-variable]
   32 |     constexpr UInt NNODES = how_many_nodes(ORDER,mydim);
      |                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 15, 1, 1, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 15, 1, 1, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 15, 0, 2, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 15, 0, 2, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<2, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:277:47:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:277:27:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:277:81:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:80:35:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:81:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:80:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Point_imp.h:36:27:   required from 'Real Point<ndim>::dist2(const Point<ndim>&) const [with int ndim = 3; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:43:32:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:248:25:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:248:25:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:248:55:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:249:46:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:262:48:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 14>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 1, 0, 14, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 1, 0, 14, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:81:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:80:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 10, 0, 10, 10>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52:   required from 'static const Eigen::MatrixBase<Derived>::BasisReturnType Eigen::MatrixBase<Derived>::Unit(Eigen::Index) [with Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>; BasisReturnType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Eigen::Index = long long int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Point_imp.h:36:27:   required from 'Real Point<ndim>::dist2(const Point<ndim>&) const [with int ndim = 2; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:43:32:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:387:25:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:387:25:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:388:13:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 5>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 5, 1, 0, 5, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1, 0, 5, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1, 0, 5, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 5, 1, 0, 5, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:81:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:80:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:105:38:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:105:38:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:14:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:260:27:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:244:26:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::makeLumped(const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:271:19:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:344:47:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const SpMat&, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:201:30:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:344:47:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const SpMat&, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:201:30:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:215:66:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:78:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:221:42:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:221:70:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:222:115:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:730:33:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Point_imp.h:36:58:   required from 'Real Point<ndim>::dist2(const Point<ndim>&) const [with int ndim = 3; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:43:32:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:190:31:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:213:35:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:190:22:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:213:35:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:10:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:37:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:67:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:34:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Point_imp.h:36:58:   required from 'Real Point<ndim>::dist2(const Point<ndim>&) const [with int ndim = 2; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:43:32:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:350:34:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:372:40:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:350:25:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:372:40:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:17:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:44:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:74:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:69:23:   required from 'VectorXr HeatProcess<ORDER, mydim, ndim>::computeDensityOnlyData() [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:78:15:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:67:60:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:69:31:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler.h:8,
                 from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:8:
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]':
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:40:58:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:298:37:   required from 'void DataProblem_time<ORDER, mydim, ndim>::setDataHeat() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:189:9:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:227:
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  376 |     for(UInt i = 0; i < indices.size(); ++i) {
      |                     ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double, 1, int>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 1, int>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double, 1, int>, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double, 1, int>, 1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double, 1, int>, 1, -1, true>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:20:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<2, 2, 2>; Args = {DataProblem_time<2, 2, 2>&, FunctionalProblem_time<2, 2, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:204:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  376 |     for(UInt i = 0; i < indices.size(); ++i) {
      |                     ~~^~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 3>; Args = {DataProblem_time<1, 2, 3>&, FunctionalProblem_time<1, 2, 3>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:206:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<2, 2, 3>; Args = {DataProblem_time<2, 2, 3>&, FunctionalProblem_time<2, 2, 3>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:208:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 3, 3>; Args = {DataProblem_time<1, 3, 3>&, FunctionalProblem_time<1, 3, 3>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:210:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<2, 3, 3>; Args = {DataProblem_time<2, 3, 3>&, FunctionalProblem_time<2, 3, 3>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:212:54:   required from here
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 2, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:132:21:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 3, 3> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:29:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>; SparseMatrixType = Eigen::SparseMatrix<double, 1, int>; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double, 1, int>, 1, -1, true>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:24:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>; SparseMatrixType = Eigen::SparseMatrix<double, 1, int>; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double, 1, int>, 1, -1, true>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:24:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>; Src = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51:   required from 'typename Eigen::MatrixBase<Derived>::cross_product_return_type<OtherDerived>::type Eigen::MatrixBase<Derived>::cross(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; typename cross_product_return_type<OtherDerived>::type = Eigen::Matrix<double, 3, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:42:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>; Src = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 4, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:110:26:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Eigen::Matrix<double, (mydim + 1), 1>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:24:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>; Src = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; Src = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:105:22:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:309:25:   required from 'std::tuple<double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:316:87:   required from 'void HeatProcess_time<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:244:5:   required from 'HeatProcess_time<ORDER, mydim, ndim>::HeatProcess_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:46:144:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21:   required from 'Eigen::Index Eigen::BlockImpl<XprType, BlockRows, BlockCols, true, Eigen::Sparse>::nonZeros() const [with XprType = Eigen::Ref<const Eigen::SparseMatrix<double, 1, int>, 0, Eigen::OuterStride<> >; int BlockRows = 1; int BlockCols = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>; SparseMatrixType = Eigen::SparseMatrix<double, 1, int>; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double, 1, int>, 1, -1, true>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:24:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::computeUpsilon(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64:   required from 'void Heat_CV_time<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5:   required from 'Heat_CV_time<ORDER, mydim, ndim>::Heat_CV_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 6, 1, 0, 6, 1>; U = Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:7:55:   required from 'Real KfoldCV_L2_error<ORDER, mydim, ndim>::operator()(const SpMat&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; SpMat = Eigen::SparseMatrix<double>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:178:42:   required from 'void Heat_CV<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:140:5:   required from 'Heat_CV<ORDER, mydim, ndim>::Heat_CV(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:59:110:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 14, 1, 0, 14, 1>; U = Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:7:55:   required from 'Real KfoldCV_L2_error<ORDER, mydim, ndim>::operator()(const SpMat&, const VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; SpMat = Eigen::SparseMatrix<double>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:178:42:   required from 'void Heat_CV<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:140:5:   required from 'Heat_CV<ORDER, mydim, ndim>::Heat_CV(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV<1, 3, 3>; Args = {DataProblem<1, 3, 3>&, FunctionalProblem<1, 3, 3>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:59:110:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:108:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 5, 1, 0, 5, 1>; U = Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:7:55:   required from 'Real KfoldCV_L2_error<ORDER, mydim, ndim>::operator()(const SpMat&, const VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; SpMat = Eigen::SparseMatrix<double>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:178:42:   required from 'void Heat_CV<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:140:5:   required from 'Heat_CV<ORDER, mydim, ndim>::Heat_CV(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV<1, 1, 2>; Args = {DataProblem<1, 1, 2>&, FunctionalProblem<1, 1, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:59:110:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:112:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >; SrcXprType = Eigen::Matrix<double, 3, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false> >; SrcXprType = Eigen::Matrix<double, 3, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>; Src = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >; SrcXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >; SrcXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >; SrcXprType = Eigen::Matrix<double, 4, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false> >; SrcXprType = Eigen::Matrix<double, 4, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>; Src = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 4, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 4, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 4, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >; SrcXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >; SrcXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >; SrcXprType = Eigen::Matrix<double, 2, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >; SrcXprType = Eigen::Matrix<double, 2, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>; Src = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >; SrcXprType = Eigen::Matrix<double, 3, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >; SrcXprType = Eigen::Matrix<double, 3, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; Src = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20:   required from 'void DataProblem<ORDER, mydim, ndim>::fillPsiQuad() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:67:66:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:8:40:   required from 'Real KfoldCV_L2_error<ORDER, mydim, ndim>::operator()(const SpMat&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; SpMat = Eigen::SparseMatrix<double>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:178:42:   required from 'void Heat_CV<ORDER, mydim, ndim>::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:140:5:   required from 'Heat_CV<ORDER, mydim, ndim>::Heat_CV(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&, int&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:59:110:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:46:66:   required from 'Real DataProblem<ORDER, mydim, ndim>::FEintegrate(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:69:55:   required from 'VectorXr HeatProcess<ORDER, mydim, ndim>::computeDensityOnlyData() [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:78:15:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:732:13:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::DiagonalBase<DiagonalDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:245:11:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::makeLumped(const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:271:19:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:309:25:   required from 'std::tuple<double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:316:87:   required from 'void HeatProcess_time<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:244:5:   required from 'HeatProcess_time<ORDER, mydim, ndim>::HeatProcess_time(const DataProblem_time<ORDER, mydim, ndim>&, const FunctionalProblem_time<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:46:144:   required from 'SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::SparseMatrix<double>; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double> >; RhsType = Eigen::SparseMatrix<double>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; Derived = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, 3>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:946:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:732:13:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::DiagonalBase<DiagonalDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:245:11:   required from 'SpMat DataProblem_time<ORDER, mydim, ndim>::makeLumped(const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:271:19:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix<double>; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix<double>; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17:   required from 'static void Eigen::internal::sparse_sparse_to_dense_product_selector<Lhs, Rhs, ResultType, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:5:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction.h:88:72:   required from 'DirectionBFGS<ORDER, mydim, ndim, T>::DirectionBFGS(const T&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; T = FunctionalProblem<1, 2, 2>; UInt = int]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = DirectionBFGS<1, 2, 2, FunctionalProblem<1, 2, 2> >; Args = {const FunctionalProblem<1, 2, 2>&, int}]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_Factory.h:32:74:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\shared_ptr_base.h:1712:14:   required from 'std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const DataProblem<1, 2, 2>&, const FunctionalProblem<1, 2, 2>&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = FixedStep<1, 2, 2>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]'
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\shared_ptr.h:464:59:   required from 'std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const DataProblem<1, 2, 2>&, const FunctionalProblem<1, 2, 2>&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = FixedStep<1, 2, 2>]'
d:\rtools43\x86_64-w64-mingw32.static.posix\lib\gcc\x86_64-w64-mingw32.static.posix\12.3.0\include\c++\bits\shared_ptr.h:1009:14:   required from 'std::shared_ptr<typename std::enable_if<(! std::is_array< <template-parameter-1-1> >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = FixedStep<1, 2, 2>; _Args = {const DataProblem<1, 2, 2>&, const FunctionalProblem<1, 2, 2>&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array< <template-parameter-1-1> >::value), _Tp>::type = FixedStep<1, 2, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_Factory.h:18:67:   required from 'static std::shared_ptr<MinimizationAlgorithm<ORDER, mydim, ndim> > MinimizationAlgorithm_factory<ORDER, mydim, ndim>::createStepSolver(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:31:70:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34:   required from 'void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix<typename ResultType::Scalar, 3, 1>&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>; typename ResultType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21:   required from 'Eigen::Index Eigen::BlockImpl<XprType, BlockRows, BlockCols, true, Eigen::Sparse>::nonZeros() const [with XprType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix<double>; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:277:18:   required from 'void Eigen::internal::sparse_sparse_to_dense_product_impl(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 0, long long int>; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:322:78:   required from 'static void Eigen::internal::sparse_sparse_to_dense_product_selector<Lhs, Rhs, ResultType, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:5:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 5; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 2, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 2, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:195:43:   required from 'struct Eigen::internal::unary_evaluator<Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7:   required from 'void Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16:   required from 'Eigen::Ref<const Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase<OtherDerived>&) [with Derived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; DstType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; int Size = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 14, 1, 4, 14>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 14, 1, 4, 14>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 14, 1, 4, 14> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 14, 1, 4, 14> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 14, 1, 4, 14> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 10, 10, 0, 10, 10>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 10, 10, 0, 10, 10>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 10, 10, 0, 10, 10>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 10, 10, 0, 10, 10>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 14, 1, 10, 14>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 14, 1, 10, 14>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 14, 1, 10, 14> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 14, 1, 10, 14> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 14, 1, 10, 14> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 3, 0, 6, 3>, Eigen::Matrix<double, 3, 1>, 0> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 6, 6, 0, 6, 6>, Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 1>, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 10, 10, 0, 10, 10>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 10, 10, 0, 10, 10>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16:   required from 'void DataProblem<ORDER, mydim, ndim>::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 6, 1, 3, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 6, 1, 3, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 6, 1, 3, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 6, 1, 3, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 6, 1, 3, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 1, 6, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 1, 6, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 6, 1, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 6, 1, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 1, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; Dest = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>; Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>; Dest = Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 5, 1, 3, 5>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 5, 1, 3, 5>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 5, 1, 3, 5> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 5, 1, 3, 5> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 5, 1, 3, 5> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:190:22:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:213:35:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>; U = Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>; U = Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 4, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 4, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 4, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 14, 1, 0, 14, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 14, 1, 0, 14, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 14, 1, 0, 14, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 14, 1, 0, 14, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 10, 1, true>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 10, 10, 0, 10, 10>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 10, 10, 0, 10, 10>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>; U = Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true>; U = Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 10, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 10, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 10, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1, 10, false> >, 10, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Matrix<double, 1, 2>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:350:25:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:372:40:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, 4, 14, 1, 4, 14>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; Dest = Eigen::Matrix<double, 4, 4>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, 4, 4, 14, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = false; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, 4, 14, 1, 4, 14>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 4>, gemm_blocking_space<0, double, double, 4, 4, 14, 1, true> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, 4, 14, 1, 4, 14>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; Dest = Eigen::Matrix<double, 4, 4>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, 4, 4, 14, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = false; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, 4, 14, 1, 4, 14>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, Eigen::Matrix<double, 4, 4>, gemm_blocking_space<0, double, double, 4, 4, 14, 1, true> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 4, 4>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21:   required from 'std::pair<double, double> FunctionalProblem<ORDER, mydim, ndim>::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72:   required from 'void HeatProcess<ORDER, mydim, ndim>::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5:   required from 'HeatProcess<ORDER, mydim, ndim>::HeatProcess(const DataProblem<ORDER, mydim, ndim>&, const FunctionalProblem<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31:   required from 'std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]'
Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128:   required from 'SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>; UInt = int]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, 14, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; U = Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 14, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>; Rhs = Eigen::Matrix<double, 6, 6, 0, 6, 6>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 6, 6, 0, 6, 6>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 14, 4, 0, 14, 4>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 14, 10, 0, 14, 10>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>; Rhs = Eigen::Matrix<double, 6, 3, 0, 6, 3>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 6, 3, 0, 6, 3>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >, const Eigen::Block<const Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 14, 10, 0, 14, 10>, Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>; Rhs = Eigen::Matrix<double, 5, 2, 0, 5, 2>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 5, 2, 0, 5, 2>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>; Rhs = Eigen::Matrix<double, 5, 2, 0, 5, 2>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 5, 2, 0, 5, 2>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>; Rhs = Eigen::Matrix<double, 5, 3, 0, 5, 3>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 5, 3, 0, 5, 3>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 1, 6, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 6, 0, 6, 6> > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 14, 1, 4, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 4, 0, 14, 4>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 4, 0, 14, 4>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 10, 14, 1, 10, 14>, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 14, 1, 0, 14, 1> >, 1>, Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 10, 0, 10, 10> > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22:   required from 'void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; LhsT = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; RhsT = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 6, 1, 3, 6>, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 3, 0, 6, 3>, 6, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>, Eigen::Matrix<double, 6, 3, 0, 6, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 5, 2, 0, 5, 2>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 5, 2, 0, 5, 2>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 5, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 2, 0, 5, 2>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 5, 3, 0, 5, 3>; Rhs = Eigen::Matrix<double, 3, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 3, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 5, 3, 0, 5, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 5, 1, 3, 5>, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, 5, 1, 0, 5, 1> >, 1>, Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 3>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 2, 0, 5, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 2, 0, 5, 2>, Eigen::Matrix<double, 2, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, 5, 3, 0, 5, 3>, Eigen::Matrix<double, 3, 1>, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52:   required from 'MatrixXr FunctionalProblem<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 2>; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 2>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50:   required from 'SpMat DataProblem<ORDER, mydim, ndim>::computePsi(const std::vector<int>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9:   required from 'void DataProblem_time<ORDER, mydim, ndim>::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5:   required from 'DataProblem_time<ORDER, mydim, ndim>::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector<double>&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Rhs = Eigen::Matrix<double, 3, 2>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 3, 2>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:53:48:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42:   required from 'DataProblem<ORDER, mydim, ndim>::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22:   required from 'MatrixXr FunctionalProblem_time<ORDER, mydim, ndim>::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50:   required from 'void FEDE_time<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15:   required from 'SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14:   required from 'std::pair<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50:   required from 'void FEDE<ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12:   required from 'SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:79:   required from 'VectorXr DirectionBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:28:   required from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:329:47:   required from 'const VectorXr* HeatProcess_time<ORDER, mydim, ndim>::chooseInitialization(Real, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:326:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:67:37:   required from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:59:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:40:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:266:56:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:34:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:217:35:   required from 'VectorXr DirectionLBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:195:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:71:29:   required from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:54:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:61:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:90:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:183:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:166:29:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:67:37:   required from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:217:35:   required from 'VectorXr DirectionLBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:195:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:71:29:   required from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:15:   required from 'VectorXr DirectionBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24:   required from 'VectorXr DirectionBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:166:29:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:14:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:14:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::SparseMatrix<double>; int ProductType = 7; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:14:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >; Rhs = Eigen::SparseMatrix<double>; int ProductType = 7; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:14:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:14:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24:   required from 'VectorXr DirectionBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24:   required from 'VectorXr DirectionBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24:   required from 'VectorXr DirectionBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 10, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, 1, 14, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 10, 0, 14, 10> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 10, 1, 0, 10, 1> > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:15:   required from 'VectorXr DirectionBFGS<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, 1, 14, true> >, const Eigen::Block<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 14, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 14, 4, 0, 14, 4> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 14, 1, 0, 14, 1>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 6, 0, 6, 6> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, 1, 5, true> >, const Eigen::Block<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 5, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 3, 0, 5, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, 1, 5, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 5, 2, 0, 5, 2> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 5, 1, 0, 5, 1>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, 1, 6, true> >, const Eigen::Block<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 6, 3, 0, 6, 3> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 6, 1, 0, 6, 1>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double> FunctionalProblem<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71:   required from 'void RightCrossValidation<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22:   required from 'std::pair<double, Eigen::Matrix<double, -1, 1> > FunctionalProblem_time<ORDER, mydim, ndim>::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27:   required from 'std::tuple<double, Eigen::Matrix<double, -1, 1, 0, -1, 1>, double, double, double> FunctionalProblem_time<ORDER, mydim, ndim>::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>; Real = double; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71:   required from 'void RightCrossValidation_time<ORDER, mydim, ndim>::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix<double>]'
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from Density_Estimation/Source/../../FdaPDE.h:50:
In member function 'const Real& RNumericMatrix::operator()(UInt, UInt) const',
    inlined from 'Point<ndim>::Point(UInt, const RNumericMatrix&) [with int ndim = 2]' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Point_imp.h:29:23,
    inlined from 'Point<2> MeshHandler<ORDER, 1, 2>::getPoint(UInt) const [with int ORDER = 1]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:164:32,
    inlined from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2]' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:49:37:
Density_Estimation/Source/../../Global_Utilities/Include/RObjects.h:17:69: warning: 'pos_min' may be used uninitialized [-Wmaybe-uninitialized]
   17 |         const Real& operator()(UInt i, UInt j) const {return matr_[i+nrows_*j];}
      |                                                                    ~^~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h: In member function 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:39:14: note: 'pos_min' was declared here
   39 |         UInt pos_min;
      |              ^~~~~~~
In member function 'const Real& RNumericMatrix::operator()(UInt, UInt) const',
    inlined from 'Point<ndim>::Point(UInt, const RNumericMatrix&) [with int ndim = 2]' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Point_imp.h:29:23,
    inlined from 'Point<2> MeshHandler<ORDER, 1, 2>::getPoint(UInt) const [with int ORDER = 2]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:164:32,
    inlined from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2]' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:49:37:
Density_Estimation/Source/../../Global_Utilities/Include/RObjects.h:17:69: warning: 'pos_min' may be used uninitialized [-Wmaybe-uninitialized]
   17 |         const Real& operator()(UInt i, UInt j) const {return matr_[i+nrows_*j];}
      |                                                                    ~^~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h: In member function 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:39:14: note: 'pos_min' was declared here
   39 |         UInt pos_min;
      |              ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:294:
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<3, 2, 2>::Element(const Element<3, 2, 2>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<3, 2, 2>::M_J_.Eigen::Matrix<double, 2, 2, 0, 2, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122,
                 from Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12,
                 from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:7:
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<3, 2, 2>::Element(const Element<3, 2, 2>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<3, 2, 2>::M_invJ_.Eigen::Matrix<double, 2, 2, 0, 2, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Element<3, 2, 2>::Element(const Element<3, 2, 2>&)',
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7: warning: 'obj.Element<3, 2, 2>::element_measure' may be used uninitialized [-Wmaybe-uninitialized]
   57 | class Element : public Identifier {
      |       ^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<6, 2, 2>::Element(const Element<6, 2, 2>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<6, 2, 2>::M_J_.Eigen::Matrix<double, 2, 2, 0, 2, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<6, 2, 2>::Element(const Element<6, 2, 2>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<6, 2, 2>::M_invJ_.Eigen::Matrix<double, 2, 2, 0, 2, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 2; int _Options = 0; int _MaxRows = 3; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<3, 2, 3>::Element(const Element<3, 2, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:168:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<3, 2, 3>::M_J_.Eigen::Matrix<double, 3, 2, 0, 3, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 3; int _Options = 0; int _MaxRows = 2; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<3, 2, 3>::Element(const Element<3, 2, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:168:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<3, 2, 3>::M_invJ_.Eigen::Matrix<double, 2, 3, 0, 2, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Element<3, 2, 3>::Element(const Element<3, 2, 3>&)',
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:168:7: warning: 'obj.Element<3, 2, 3>::element_measure' may be used uninitialized [-Wmaybe-uninitialized]
  168 | class Element<NNODES, 2, 3> : public Identifier {
      |       ^~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h: In member function 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:39:14: warning: 'pos_min' may be used uninitialized [-Wmaybe-uninitialized]
   39 |         UInt pos_min;
      |              ^~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h: In member function 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 2; int ndim = 3]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Projection_imp.h:39:14: warning: 'pos_min' may be used uninitialized [-Wmaybe-uninitialized]
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 2; int _Options = 0; int _MaxRows = 3; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<6, 2, 3>::Element(const Element<6, 2, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:168:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<6, 2, 3>::M_J_.Eigen::Matrix<double, 3, 2, 0, 3, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 3; int _Options = 0; int _MaxRows = 2; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<6, 2, 3>::Element(const Element<6, 2, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:168:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<6, 2, 3>::M_invJ_.Eigen::Matrix<double, 2, 3, 0, 2, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:255:
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; T = FunctionalProblem<1, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction.h:146,
                 from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm.h:6,
                 from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:14:
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; T = FunctionalProblem<1, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<1, 3, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<1, 3, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 3; T = FunctionalProblem_time<2, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 3; T = FunctionalProblem_time<2, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 3; T = FunctionalProblem_time<1, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 3; T = FunctionalProblem_time<1, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; T = FunctionalProblem_time<2, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; T = FunctionalProblem_time<2, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; T = FunctionalProblem_time<1, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; T = FunctionalProblem_time<1, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; T = FunctionalProblem<2, 1, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; T = FunctionalProblem<2, 1, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; T = FunctionalProblem<1, 1, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; T = FunctionalProblem<1, 1, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem<2, 3, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem<2, 3, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; T = FunctionalProblem<1, 3, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; T = FunctionalProblem<1, 3, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 3; T = FunctionalProblem<2, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 3; T = FunctionalProblem<2, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 3; T = FunctionalProblem<1, 2, 3>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 3; T = FunctionalProblem<1, 2, 3>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In copy constructor 'Eigen::internal::scalar_constant_op<Scalar>::scalar_constant_op(const Eigen::internal::scalar_constant_op<Scalar>&) [with Scalar = double]',
    inlined from 'Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >::CwiseNullaryOp(const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7,
    inlined from 'Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >::CwiseBinaryOp(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >&)' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7,
    inlined from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LhsType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; RhsType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22,
    inlined from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::MatrixBase<Derived>::operator+(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >]' at d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:27:1,
    inlined from 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; T = FunctionalProblem<2, 2, 2>]' at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
   19 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
      |                                                                                               ^~~~~~~~~~~~~~~~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function 'VectorXr DirectionConjugateGradient<ORDER, mydim, ndim, T>::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; T = FunctionalProblem<2, 2, 2>]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: 'beta' was declared here
   61 |         Real beta;
      |              ^~~~
In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm.h:244:
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
   99 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: 'loss_old' was declared here
   49 |     Real loss, loss_old, llik, llik_old, pen, pen_old;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
   99 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: 'loss_old' was declared here
   49 |     Real loss, loss_old, llik, llik_old, pen, pen_old;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
   99 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: 'loss_old' was declared here
   49 |     Real loss, loss_old, llik, llik_old, pen, pen_old;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
   99 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: 'loss_old' was declared here
   49 |     Real loss, loss_old, llik, llik_old, pen, pen_old;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
   99 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: 'loss_old' was declared here
   49 |     Real loss, loss_old, llik, llik_old, pen, pen_old;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
   99 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: 'loss_old' was declared here
   49 |     Real loss, loss_old, llik, llik_old, pen, pen_old;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
   99 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: 'loss_old' was declared here
   49 |     Real loss, loss_old, llik, llik_old, pen, pen_old;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
   99 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: 'loss_old' was declared here
   49 |     Real loss, loss_old, llik, llik_old, pen, pen_old;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep_time<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, Real, const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
  400 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: 'loss_old' was declared here
  349 |     Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep_time<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, Real, const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
  400 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: 'loss_old' was declared here
  349 |     Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep_time<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, Real, const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
  400 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: 'loss_old' was declared here
  349 |     Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep_time<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, Real, const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
  400 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: 'loss_old' was declared here
  349 |     Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep_time<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, Real, const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
  400 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: 'loss_old' was declared here
  349 |     Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T;
      |                ^~~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function 'VectorXr FixedStep_time<ORDER, mydim, ndim>::apply_core(const SpMat&, Real, Real, const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2]':
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: 'loss_old' may be used uninitialized [-Wmaybe-uninitialized]
  400 |         if ((loss_old - loss) < 0){}
      |             ~~~~~~~~~~^~~~~~~
Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: 'loss_old' was declared here
  349 |     Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T;
      |                ^~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c FE_Assemblers_Solvers/Source/FEM_Eval.cpp -o FE_Assemblers_Solvers/Source/FEM_Eval.o
In file included from FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:362,
                 from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:12:
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from FE_Assemblers_Solvers/Source/../../FdaPDE.h:32,
                 from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:9:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from FE_Assemblers_Solvers/Source/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
FE_Assemblers_Solvers/Source/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<6, 2, 2>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
FE_Assemblers_Solvers/Source/../Include/Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:279:9:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:142:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:16:
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; int DEGREE = 1; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:85:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; int DEGREE = 3; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:87:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; int DEGREE = 1; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:89:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; int DEGREE = 3; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:91:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; int DEGREE = 1; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:93:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; int DEGREE = 3; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:95:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; int DEGREE = 1; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:97:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; int DEGREE = 1; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:101:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; int DEGREE = 3; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:103:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; int DEGREE = 1; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:105:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; int DEGREE = 3; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:107:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; int DEGREE = 1; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:109:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; int DEGREE = 3; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:111:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 1; int ndim = 2; int DEGREE = 1; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:113:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of 'SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 1; int ndim = 2; int DEGREE = 3; SEXP = SEXPREC*]':
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:115:51:   required from here
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  272 |         for(UInt k=0; k<indices.size(); ++k){
      |                       ~^~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:297:24: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  297 |         for(UInt k=0; k<indices.size(); ++k)
      |                       ~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from FE_Assemblers_Solvers/Source/../Include/Evaluator.h:62,
                 from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:14:
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, void>::type = void]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:52:10: warning: unused variable 'search' [-Wunused-variable]
   52 |     UInt search = mesh_.getSearch();
      |          ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable 'search' [-Wunused-variable]
   85 |     UInt search = mesh_.getSearch();
      |          ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, void>::type = void]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:43:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:52:10: warning: unused variable 'search' [-Wunused-variable]
   52 |     UInt search = mesh_.getSearch();
      |          ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 2; int mydim = 1; int ndim = 2]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:43:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable 'search' [-Wunused-variable]
   85 |     UInt search = mesh_.getSearch();
      |          ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 2]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable 'search' [-Wunused-variable]
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 2; int mydim = 2; int ndim = 2]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:47:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable 'search' [-Wunused-variable]
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, void>::type = void]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:52:10: warning: unused variable 'search' [-Wunused-variable]
   52 |     UInt search = mesh_.getSearch();
      |          ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable 'search' [-Wunused-variable]
   85 |     UInt search = mesh_.getSearch();
      |          ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 2; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, void>::type = void]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:51:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:52:10: warning: unused variable 'search' [-Wunused-variable]
   52 |     UInt search = mesh_.getSearch();
      |          ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 2; int mydim = 2; int ndim = 3]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:51:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable 'search' [-Wunused-variable]
   85 |     UInt search = mesh_.getSearch();
      |          ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable 'search' [-Wunused-variable]
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 2; int mydim = 3; int ndim = 3]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:55:43:   required from here
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable 'search' [-Wunused-variable]
In file included from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:11:
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 1; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]':
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:40:58:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction(UInt, Real) const [with int DEGREE = 1; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:151:38:   required from here
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]':
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:40:58:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:162:38:   required from here
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
In file included from FE_Assemblers_Solvers/Source/../Include/Projection.h:47,
                 from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:15:
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In instantiation of 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49:   required from here
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:32:20: warning: unused variable 'NNODES' [-Wunused-variable]
   32 |     constexpr UInt NNODES = how_many_nodes(ORDER,mydim);
      |                    ^~~~~~
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In instantiation of 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:247:49:   required from here
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:32:20: warning: unused variable 'NNODES' [-Wunused-variable]
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In instantiation of 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:32:20: warning: unused variable 'NNODES' [-Wunused-variable]
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In instantiation of 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]':
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:251:49:   required from here
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:32:20: warning: unused variable 'NNODES' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:27:   required from 'Real Point<ndim>::dist2(const Point<ndim>&) const [with int ndim = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:43:32:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:387:25:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:387:25:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:388:13:   required from 'Point<2> Element<NNODES, 1, 2>::computeProjection(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:27:   required from 'Real Point<ndim>::dist2(const Point<ndim>&) const [with int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:43:32:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:248:25:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:248:25:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:248:55:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:249:46:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:262:48:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:350:34:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:411:27:   required from 'Real Element<NNODES, 1, 2>::evaluate_point(const Point<2>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55:   required from 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:350:25:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:411:27:   required from 'Real Element<NNODES, 1, 2>::evaluate_point(const Point<2>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55:   required from 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:190:31:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55:   required from 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:190:22:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55:   required from 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:86:34:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:63:35:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationNaive(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:25:54:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:63:35:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationNaive(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:25:54:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:58:   required from 'Real Point<ndim>::dist2(const Point<ndim>&) const [with int ndim = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:43:32:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<2>, std::allocator<Point<2> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:58:   required from 'Real Point<ndim>::dist2(const Point<ndim>&) const [with int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:43:32:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:10:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:37:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:67:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:17:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:44:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:74:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:336:21:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:59:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:187:1:   required from 'const Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase<ArrayWrapper<Matrix<double, 3, 1> > >::Scalar&, const ArrayBase<ArrayWrapper<Matrix<double, 3, 1> > >&)'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:63:35:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationNaive(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:25:54:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 2, 2> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:56:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:187:1:   required from 'const Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase<ArrayWrapper<Matrix<double, 4, 1> > >::Scalar&, const ArrayBase<ArrayWrapper<Matrix<double, 4, 1> > >&)'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:63:35:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationNaive(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:25:54:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 3, 3> >'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:196:1:   required from 'const Eigen::ArrayBase<Derived>::RCmpLTReturnType Eigen::ArrayBase<Derived>::operator>(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >; RCmpLTReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >; Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:365:29:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51:   required from 'typename Eigen::MatrixBase<Derived>::cross_product_return_type<OtherDerived>::type Eigen::MatrixBase<Derived>::cross(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; typename cross_product_return_type<OtherDerived>::type = Eigen::Matrix<double, 3, 1>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:183:42:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 4, 1>; U = Eigen::Matrix<double, 4, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 4, 1>; Derived = Eigen::Matrix<double, 4, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:110:26:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Eigen::Matrix<double, (mydim + 1), 1>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:24:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:344:32:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:183:60:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:336:25:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, 3>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34:   required from 'void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix<typename ResultType::Scalar, 3, 1>&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>; typename ResultType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 2, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 2, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:40:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39:   required from 'SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:350:25:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:411:27:   required from 'Real Element<NNODES, 1, 2>::evaluate_point(const Point<2>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55:   required from 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Matrix<double, 1, 2>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:350:25:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:411:27:   required from 'Real Element<NNODES, 1, 2>::evaluate_point(const Point<2>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55:   required from 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if<isManifold, void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:190:22:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55:   required from 'typename std::enable_if<isManifold, void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 3>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55:   required from 'typename std::enable_if<(! isManifold), void>::type Evaluator<ORDER, mydim, ndim>::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 2>; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 2>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Rhs = Eigen::Matrix<double, 3, 2>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 3, 2>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5:   required from 'Point<3> Element<NNODES, 2, 3>::computeProjection(const Point<3>&) const [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72:   required from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type = std::vector<Point<3>, std::allocator<Point<3> > >]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47:   required from 'SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43:   required from 'void Evaluator<ORDER, mydim, ndim>::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector<bool>&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35:   required from 'SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from FE_Assemblers_Solvers/Source/../../FdaPDE.h:50:
In member function 'const Real& RNumericMatrix::operator()(UInt, UInt) const',
    inlined from 'Point<ndim>::Point(UInt, const RNumericMatrix&) [with int ndim = 2]' at FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:29:23,
    inlined from 'Point<2> MeshHandler<ORDER, 1, 2>::getPoint(UInt) const [with int ORDER = 2]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:164:32,
    inlined from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2]' at FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:49:37:
FE_Assemblers_Solvers/Source/../../Global_Utilities/Include/RObjects.h:17:69: warning: 'pos_min' may be used uninitialized [-Wmaybe-uninitialized]
   17 |         const Real& operator()(UInt i, UInt j) const {return matr_[i+nrows_*j];}
      |                                                                    ~^~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In member function 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2]':
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:39:14: note: 'pos_min' was declared here
   39 |         UInt pos_min;
      |              ^~~~~~~
In member function 'const Real& RNumericMatrix::operator()(UInt, UInt) const',
    inlined from 'Point<ndim>::Point(UInt, const RNumericMatrix&) [with int ndim = 2]' at FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:29:23,
    inlined from 'Point<2> MeshHandler<ORDER, 1, 2>::getPoint(UInt) const [with int ORDER = 1]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:164:32,
    inlined from 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2]' at FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:49:37:
FE_Assemblers_Solvers/Source/../../Global_Utilities/Include/RObjects.h:17:69: warning: 'pos_min' may be used uninitialized [-Wmaybe-uninitialized]
   17 |         const Real& operator()(UInt i, UInt j) const {return matr_[i+nrows_*j];}
      |                                                                    ~^~~~~~~~~
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In member function 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2]':
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:39:14: note: 'pos_min' was declared here
   39 |         UInt pos_min;
      |              ^~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:294:
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<3, 2, 2>::Element(const Element<3, 2, 2>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<3, 2, 2>::M_J_.Eigen::Matrix<double, 2, 2, 0, 2, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree.h:122,
                 from FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh.h:12,
                 from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:13:
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<3, 2, 2>::Element(const Element<3, 2, 2>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<3, 2, 2>::M_invJ_.Eigen::Matrix<double, 2, 2, 0, 2, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Element<3, 2, 2>::Element(const Element<3, 2, 2>&)',
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7: warning: 'obj.Element<3, 2, 2>::element_measure' may be used uninitialized [-Wmaybe-uninitialized]
   57 | class Element : public Identifier {
      |       ^~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 2>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<6, 2, 2>::Element(const Element<6, 2, 2>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 2>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<6, 2, 2>::M_J_.Eigen::Matrix<double, 2, 2, 0, 2, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 2>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<6, 2, 2>::Element(const Element<6, 2, 2>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 2>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<6, 2, 2>::M_invJ_.Eigen::Matrix<double, 2, 2, 0, 2, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 2>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 2; int _Options = 0; int _MaxRows = 3; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<3, 2, 3>::Element(const Element<3, 2, 3>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<3, 2, 3>::M_J_.Eigen::Matrix<double, 3, 2, 0, 3, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 3; int _Options = 0; int _MaxRows = 2; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<3, 2, 3>::Element(const Element<3, 2, 3>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<3, 2, 3>::M_invJ_.Eigen::Matrix<double, 2, 3, 0, 2, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Element<3, 2, 3>::Element(const Element<3, 2, 3>&)',
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7: warning: 'obj.Element<3, 2, 3>::element_measure' may be used uninitialized [-Wmaybe-uninitialized]
  168 | class Element<NNODES, 2, 3> : public Identifier {
      |       ^~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<3, 2, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 2>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 2; int _Options = 0; int _MaxRows = 3; int _MaxCols = 2]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<6, 2, 3>::Element(const Element<6, 2, 3>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<6, 2, 3>::M_J_.Eigen::Matrix<double, 3, 2, 0, 3, 2>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 2, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 2; int _Cols = 3; int _Options = 0; int _MaxRows = 2; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<6, 2, 3>::Element(const Element<6, 2, 3>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<6, 2, 3>::M_invJ_.Eigen::Matrix<double, 2, 3, 0, 2, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<6, 2, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In member function 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3]':
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:39:14: warning: 'pos_min' may be used uninitialized [-Wmaybe-uninitialized]
   39 |         UInt pos_min;
      |              ^~~~~~~
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In member function 'typename std::enable_if<isManifold, std::vector<Point<ndim> > >::type projection<ORDER, mydim, ndim>::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 2; int ndim = 3]':
FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:39:14: warning: 'pos_min' may be used uninitialized [-Wmaybe-uninitialized]
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c FE_Assemblers_Solvers/Source/Integration.cpp -o FE_Assemblers_Solvers/Source/Integration.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:32,
                 from FE_Assemblers_Solvers/Source/../Include/Integration.h:6,
                 from FE_Assemblers_Solvers/Source/Integration.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FE_Assemblers_Solvers/Source/../Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FE_Assemblers_Solvers/Source/../Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FE_Assemblers_Solvers/Source/../Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FE_Assemblers_Solvers/Source/../Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FE_Assemblers_Solvers/Source/../Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FE_Assemblers_Solvers/Source/../Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c FE_Assemblers_Solvers/Source/Kronecker_Product.cpp -o FE_Assemblers_Solvers/Source/Kronecker_Product.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:32,
                 from FE_Assemblers_Solvers/Source/../Include/Kronecker_Product.h:4,
                 from FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:103:61:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:113:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:113:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:104:14:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:104:14:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c FPCA/Source/FPCA_Data.cpp -o FPCA/Source/FPCA_Data.o
In file included from FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:362,
                 from FPCA/Source/../Include/FPCA_Data.h:5,
                 from FPCA/Source/FPCA_Data.cpp:1:
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from FPCA/Source/../Include/../../FdaPDE.h:32,
                 from FPCA/Source/../Include/FPCA_Data.h:4:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from FPCA/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
FPCA/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<6, 2, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
FPCA/Source/../Include/FPCA_Data.h:20:12:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
FPCA/Source/../Include/FPCA_Data.h:20:12:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
FPCA/Source/FPCA_Data.cpp:77:11:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
FPCA/Source/FPCA_Data.cpp:97:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; OtherDerived = Eigen::Matrix<double, -1, -1>; bool IsVector = false; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:384:60:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:412:25:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::NoChange_t, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
FPCA/Source/FPCA_Data.cpp:99:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
FPCA/Source/FPCA_Data.cpp:97:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
FPCA/Source/FPCA_Data.cpp:97:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:57:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from 'Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from 'Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Matrix<double, -1, -1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; OtherDerived = Eigen::Matrix<double, -1, -1>; bool IsVector = false; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:384:60:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:412:25:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::NoChange_t, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
FPCA/Source/FPCA_Data.cpp:99:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c FPCA/Source/FPCA_Object.cpp -o FPCA/Source/FPCA_Object.o
In file included from FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:362,
                 from FPCA/Source/../Include/FPCA_Object.h:5,
                 from FPCA/Source/FPCA_Object.cpp:1:
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from FPCA/Source/../Include/../../FdaPDE.h:32,
                 from FPCA/Source/../Include/FPCA_Object.h:4:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from FPCA/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
FPCA/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<6, 2, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
FPCA/Source/../Include/FPCA_Object.h:20:12:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
FPCA/Source/../Include/FPCA_Object.h:20:12:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/SVDBase.h:71:39:   required from 'class Eigen::SVDBase<Eigen::JacobiSVD<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:488:60:   required from 'class Eigen::JacobiSVD<Eigen::Matrix<double, -1, -1> >'
FPCA/Source/FPCA_Object.cpp:7:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:246:10:   required from 'struct Eigen::internal::qr_preconditioner_impl<Eigen::Matrix<double, -1, -1>, 2, 0, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:609:110:   required from 'class Eigen::JacobiSVD<Eigen::Matrix<double, -1, -1> >'
FPCA/Source/FPCA_Object.cpp:7:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
FPCA/Source/FPCA_Object.cpp:9:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
FPCA/Source/FPCA_Object.cpp:46:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/FPCA_Object.cpp:47:31:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/FPCA_Object.cpp:47:31:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
FPCA/Source/FPCA_Object.cpp:57:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
FPCA/Source/FPCA_Object.cpp:57:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
FPCA/Source/FPCA_Object.cpp:63:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
FPCA/Source/FPCA_Object.cpp:63:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/FPCA_Object.cpp: In member function 'void FPCAObject::setLoadings(UInt, const VectorXr&, const std::vector<int>&)':
FPCA/Source/FPCA_Object.cpp:72:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   72 |         for(auto i=0;i<obs_indices.size();i++)  loadings_(i)=loadings_full_(obs_indices[i]);
      |                      ~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/FPCA_Object.cpp:77:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
FPCA/Source/FPCA_Object.cpp: In member function 'void FPCAObject::finalizeLoadings(const std::vector<int>&, UInt)':
FPCA/Source/FPCA_Object.cpp:78:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   78 |         for(auto i=0;i<obs_indices.size();i++)
      |                      ~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:37:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:32:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:758:35:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:65:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/FPCA_Object.cpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:345:58:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:303:34:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:310:26:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:734:53:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:165:63:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:166:82:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:168:21:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:698:45:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:88:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:71:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:406:42:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:409:44:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:298:61:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/FPCA_Object.cpp:47:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:71:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:9:31:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8:   required from 'struct Eigen::internal::plain_object_eval<Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:187:104:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::DenseShape, ProductType>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int ProductType = 7; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:63:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:18:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from 'struct Eigen::internal::product_triangular_matrix_matrix<double, long long int, 5, true, 0, false, 0, false, 0, 1, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:46:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:46:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:57:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:57:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:46:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:46:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:57:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:57:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:46:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:46:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:57:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/FPCA_Object.cpp:57:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/FPCA_Object.cpp:7:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:341:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const double*' to 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]' declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c FPCA/Source/Mixed_FE_FPCA.cpp -o FPCA/Source/Mixed_FE_FPCA.o
In file included from FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362,
                 from FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6,
                 from FPCA/Source/../Include/Mixed_FE_FPCA.h:5,
                 from FPCA/Source/Mixed_FE_FPCA.cpp:1:
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from FPCA/Source/../Include/../../FdaPDE.h:32,
                 from FPCA/Source/../Include/Mixed_FE_FPCA.h:4:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from FPCA/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
FPCA/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<6, 2, 2>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54:   required from 'class Eigen::SparseLU<Eigen::SparseMatrix<double> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41:   required from 'struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81:   required from 'struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49:   required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16:   required from 'class Eigen::IncompleteLUT<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18:   required from 'class Eigen::IterativeSolverBase<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7:   required from 'class Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<double> >'
FPCA/Source/Mixed_FE_FPCA.cpp:44:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:44:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2>'
FPCA/Source/Mixed_FE_FPCA.cpp:44:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2>'
FPCA/Source/Mixed_FE_FPCA.cpp:46:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:71:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:84:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, 1>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:88:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/Mixed_FE_FPCA.cpp: In member function 'void MixedFEFPCABase::computeVarianceExplained()':
FPCA/Source/Mixed_FE_FPCA.cpp:96:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   96 |         for(UInt i=0;i<scores_mat_.size();i++)
      |                      ~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
FPCA/Source/Mixed_FE_FPCA.cpp:97:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
FPCA/Source/Mixed_FE_FPCA.cpp:101:23: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  101 |         for(UInt i=0;i<variance_explained_.size();i++)
      |                      ~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:102:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
FPCA/Source/Mixed_FE_FPCA.cpp:102:61:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:102:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:102:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:106:24:   required from 'class Eigen::BDCSVD<Eigen::Matrix<double, -1, -1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:107:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
FPCA/Source/Mixed_FE_FPCA.cpp:110:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, 1>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:110:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:110:70:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:110:70:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
FPCA/Source/Mixed_FE_FPCA.cpp:110:113:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:110:116:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:110:141:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:110:223:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:112:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:112:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
FPCA/Source/Mixed_FE_FPCA.cpp:124:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
FPCA/Source/Mixed_FE_FPCA.cpp:124:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
FPCA/Source/Mixed_FE_FPCA.cpp:141:13:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:104:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >'
FPCA/Source/Mixed_FE_FPCA.cpp:191:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:195:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:195:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:203:21:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
FPCA/Source/Mixed_FE_FPCA.cpp:205:9:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>'
FPCA/Source/Mixed_FE_FPCA.cpp:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>'
FPCA/Source/Mixed_FE_FPCA.cpp:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:206:20:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/Mixed_FE_FPCA.cpp: In member function 'void MixedFEFPCAGCV::computeDegreesOfFreedomExact(UInt, Real)':
FPCA/Source/Mixed_FE_FPCA.cpp:207:36: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  207 |                 for (auto i = 0; i < k.size(); ++i) {
      |                                  ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
FPCA/Source/Mixed_FE_FPCA.cpp:247:11:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:247:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:252:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:253:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
FPCA/Source/Mixed_FE_FPCA.cpp:260:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>'
FPCA/Source/Mixed_FE_FPCA.cpp:260:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/Mixed_FE_FPCA.cpp: In member function 'void MixedFEFPCAGCV::computeGCV(FPCAObject&, UInt)':
FPCA/Source/Mixed_FE_FPCA.cpp:280:31: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  280 |                 for(auto i=0;i<this->fpcaData_.getObservationsIndices().size();i++)
      |                              ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:286:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:286:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:286:92:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/Mixed_FE_FPCA.cpp: In member function 'void MixedFEFPCAGCV::computeIterationsGCV(MatrixXr&, UInt, UInt)':
FPCA/Source/Mixed_FE_FPCA.cpp:307:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  307 |         for (auto i=0; i<this->fpcaData_.getLambda().size(); ++i)
      |                        ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:367:111:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:367:112:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
FPCA/Source/Mixed_FE_FPCA.cpp:367:112:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:374:69:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:374:97:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:376:50:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:378:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
FPCA/Source/Mixed_FE_FPCA.cpp:415:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false>'
FPCA/Source/Mixed_FE_FPCA.cpp:415:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:418:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:418:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:418:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
FPCA/Source/Mixed_FE_FPCA.cpp:456:130:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:456:131:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:456:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:456:192:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:457:57:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:457:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
FPCA/Source/Mixed_FE_FPCA.cpp:459:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>'
FPCA/Source/Mixed_FE_FPCA.cpp:459:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
FPCA/Source/Mixed_FE_FPCA.cpp:459:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >'
FPCA/Source/Mixed_FE_FPCA.cpp:461:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
FPCA/Source/Mixed_FE_FPCA.cpp:491:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/Mixed_FE_FPCA.cpp: In member function 'virtual void MixedFEFPCAKFold::apply()':
FPCA/Source/Mixed_FE_FPCA.cpp:531:34: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  531 |                 for(auto i = 0; i<this->fpcaData_.getLambda().size(); ++i)
      |                                 ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:112:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:493:54:   required from 'struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::internal::IndexBased, Eigen::internal::IteratorBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:343:8:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::internal::IndexBased, Eigen::internal::IteratorBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
FPCA/Source/Mixed_FE_FPCA.cpp:124:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:456:57:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:459:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:461:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
FPCA/Source/Mixed_FE_FPCA.cpp:102:77:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
FPCA/Source/Mixed_FE_FPCA.cpp:102:77:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:272:37:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:43:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:282:35:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:41:15:   required from 'class Eigen::internal::UpperBidiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, -1, 1, 2, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, -1, 1, 2, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, -1, 1, 2, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, -1, 1, 2, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:230:22:   required from 'class Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:86:20:   required from 'class Eigen::internal::UpperBidiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:141:7:   required from 'class Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:44:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
FPCA/Source/Mixed_FE_FPCA.cpp:33:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:73:15:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Rhs = Eigen::SparseMatrix<double>; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Rhs = Eigen::SparseMatrix<double>; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Rhs = Eigen::SparseMatrix<double>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
FPCA/Source/Mixed_FE_FPCA.cpp:44:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:437:72:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:442:34:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:442:81:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:502:60:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:506:122:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:535:78:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:569:47:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:569:47:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:40:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:56:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:583:70:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from 'struct Eigen::internal::cast_return_type<Eigen::Matrix<double, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Matrix<double, -1, -1> > >'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179:   required from 'struct Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<double>'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >::cast() const [with NewType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:83:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:99:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:112:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:112:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:12:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:20:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:295:26:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 5; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
FPCA/Source/Mixed_FE_FPCA.cpp:102:77:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 5; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
FPCA/Source/Mixed_FE_FPCA.cpp:102:77:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:63:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 5; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
FPCA/Source/Mixed_FE_FPCA.cpp:102:77:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 5; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
FPCA/Source/Mixed_FE_FPCA.cpp:102:77:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:138:32:   required from 'void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13:   required from 'Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:140:21:   required from 'void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13:   required from 'Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:293:46:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:33:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:73:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1193:117:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:38:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:54:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:600:19:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:601:12:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:625:16:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:368:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:35:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:377:15:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:378:15:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:45:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:62:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:50:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:394:27:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:22:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:110:143:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:110:143:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7:   required from 'const Eigen::MapBase<Derived, 0>::Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28:   required from 'static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
FPCA/Source/Mixed_FE_FPCA.cpp:205:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1117:122:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:264:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:286:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:286:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:374:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:374:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:456:192:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:456:192:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90:   required from 'static void Eigen::internal::permutation_matrix_product<ExpressionType, Side, Transposed, Eigen::SparseShape>::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix<double>; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix<double>; int Side = 2; bool Transposed = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, MatrixShape, Eigen::PermutationShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18:   required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42:   required from 'void Eigen::AMDOrdering<StorageIndex>::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix<double>; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double>*; CholMatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:471:35:   required from 'Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:96:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:73:15:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Rhs = Eigen::SparseMatrix<double>; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Rhs = Eigen::SparseMatrix<double>; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Rhs = Eigen::SparseMatrix<double>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
FPCA/Source/Mixed_FE_FPCA.cpp:44:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:339:81:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:74:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:46:   required from 'void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<double, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long long int, 1, -1> >; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:804:24:   required from 'void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<double, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long long int, 1, -1> >; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:804:24:   required from 'void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<double, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long long int, 1, -1> >; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:146:13:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:146:48:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:361:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:146:48:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:150:10:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:150:21:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:150:63:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:150:63:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:156:12:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:156:48:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:156:48:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:160:10:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:160:21:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:160:63:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:160:63:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50:   required from 'bool Eigen::DenseBase<Derived>::any() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:54:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50:   required from 'bool Eigen::DenseBase<Derived>::any() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:54:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:390:110:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:456:57:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:459:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:461:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 5; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
FPCA/Source/Mixed_FE_FPCA.cpp:102:77:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; int ProductTag = 5; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
FPCA/Source/Mixed_FE_FPCA.cpp:102:77:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:272:71:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:339:92:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:182:16:   required from 'void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long long int; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:203:23:   required from 'void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long long int; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:203:23:   required from 'void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long long int; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >::match<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:216:18:   required from 'void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long long int; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >::match<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:216:18:   required from 'void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long long int; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:391:7:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index) [with Derived = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1206:11:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index) [with Derived = Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:602:7:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60:   required from 'void Eigen::VectorwiseOp<ExpressionType, Direction>::reverseInPlace() [with ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; int Direction = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:192:75:   required from 'static void Eigen::internal::vectorwise_reverse_inplace_impl<1>::run(ExpressionType&) [with ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60:   required from 'void Eigen::VectorwiseOp<ExpressionType, Direction>::reverseInPlace() [with ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; int Direction = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:192:75:   required from 'static void Eigen::internal::vectorwise_reverse_inplace_impl<1>::run(ExpressionType&) [with ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60:   required from 'void Eigen::VectorwiseOp<ExpressionType, Direction>::reverseInPlace() [with ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; int Direction = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:110:143:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
FPCA/Source/Mixed_FE_FPCA.cpp:205:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:415:116:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8:   required from 'struct Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:535:69:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:84:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:53:   required from 'void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<double, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long long int, 1, -1> >; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1088:25:   required from 'void Eigen::BDCSVD<MatrixType>::computeSingVecs(const ArrayRef&, const ArrayRef&, const IndicesRef&, const VectorType&, const ArrayRef&, const ArrayRef&, MatrixXr&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long long int, 1, -1> >; VectorType = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:669:3:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:112:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:112:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:112:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, -1>; Derived = Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>; Derived = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 16777215>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:140:25:   required from 'void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13:   required from 'Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:110:143:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:175:24:   required from 'Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::Scalar Eigen::ProductImpl<Lhs, Rhs, Option, Eigen::Dense>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from 'Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:206:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:206:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::SparseMatrix<double>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:253:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:286:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:374:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:456:192:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:437:55:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:442:56:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1193:128:   required from 'void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:53:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; CoeffsType = Eigen::VectorBlock<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; CoeffsType = Eigen::VectorBlock<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:112:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteLUT<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Src = Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Src = Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>; Src = Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, 2, -1, 1, 2, -1>, 1, -1, false>; Derived = Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:138:22:   required from 'void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13:   required from 'Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<double, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, -1, true>, 2>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:146:24:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:150:33:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:150:33:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:156:23:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:160:33:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:160:33:   required from 'void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:377:20:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:378:20:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:53:   required from 'void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<double, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long long int, 1, -1> >; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:147:18:   required from 'void Eigen::MatrixBase<Derived>::normalize() [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1088:25:   required from 'void Eigen::BDCSVD<MatrixType>::computeSingVecs(const ArrayRef&, const ArrayRef&, const IndicesRef&, const VectorType&, const ArrayRef&, const ArrayRef&, MatrixXr&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<double, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long long int, 1, -1> >; VectorType = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:669:3:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, true>, 1>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60:   required from 'void Eigen::VectorwiseOp<ExpressionType, Direction>::reverseInPlace() [with ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; int Direction = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48:   required from 'void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:112:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17:   required from 'static void Eigen::internal::sparse_sparse_to_dense_product_selector<Lhs, Rhs, ResultType, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:196:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, 2, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = false; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, gemm_blocking_space<0, double, double, 2, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:277:18:   required from 'void Eigen::internal::sparse_sparse_to_dense_product_impl(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 0, long long int>; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:322:78:   required from 'static void Eigen::internal::sparse_sparse_to_dense_product_selector<Lhs, Rhs, ResultType, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Lhs = Eigen::Transpose<Eigen::SparseMatrix<double> >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix<double, -1, -1>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:206:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50:   required from 'struct Eigen::internal::sparse_solve_triangular_selector<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 2, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DstType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DecType = Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:418:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:457:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19:   required from 'void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5:   required from 'void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::SparseMatrix<double>; DecType = Eigen::SparseLU<Eigen::SparseMatrix<double> >; RhsType = Eigen::SparseMatrix<double>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; Derived = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/Mixed_FE_FPCA.cpp:130:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix<double>; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:457:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:110:143:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:110:143:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:374:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/Mixed_FE_FPCA.cpp:457:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55:   required from 'void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<double, -1, -1>; BidiagType = BandMatrix<double, -1, -1, 1, 0, 1>; Eigen::Index = long long int; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7:   required from 'Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; VectorsType = const Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>; int Side = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36:   required from 'void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<double, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<double, -1, -1>; NaiveV = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27:   required from 'Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12:   required from 'Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:107:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/Mixed_FE_FPCA.cpp:98:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/Mixed_FE_FPCA.cpp:260:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
FPCA/Source/Mixed_FE_FPCA.cpp:192:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:341:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const double*' to 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]' declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c FPCA/Source/Rfun_Smooth_FPCA.cpp -o FPCA/Source/Rfun_Smooth_FPCA.o
In file included from FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:362,
                 from FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:11,
                 from FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:5,
                 from FPCA/Source/Rfun_Smooth_FPCA.cpp:2:
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from FPCA/Source/../../FdaPDE.h:32,
                 from FPCA/Source/Rfun_Smooth_FPCA.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from FPCA/Source/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
FPCA/Source/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:349:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:349:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<6, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54:   required from 'class Eigen::SparseLU<Eigen::SparseMatrix<double> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41:   required from 'struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81:   required from 'struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49:   required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16:   required from 'class Eigen::IncompleteLUT<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18:   required from 'class Eigen::IterativeSolverBase<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7:   required from 'class Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   41 |         for(UInt j = 0; j < loadings.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   48 |         for(UInt j = 0; j < scores.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   55 |         for(UInt i = 0; i < lambdas.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   61 |         for(UInt i = 0; i < variance_explained.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   67 |         for(UInt i = 0; i < cumsum_percentage.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   72 |         for(UInt i = 0; i < var.size(); i++)
      |                         ~~^~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   41 |         for(UInt j = 0; j < loadings.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   48 |         for(UInt j = 0; j < scores.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   55 |         for(UInt i = 0; i < lambdas.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   61 |         for(UInt i = 0; i < variance_explained.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   67 |         for(UInt i = 0; i < cumsum_percentage.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   72 |         for(UInt i = 0; i < var.size(); i++)
      |                         ~~^~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   41 |         for(UInt j = 0; j < loadings.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   48 |         for(UInt j = 0; j < scores.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   55 |         for(UInt i = 0; i < lambdas.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   61 |         for(UInt i = 0; i < variance_explained.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   67 |         for(UInt i = 0; i < cumsum_percentage.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   72 |         for(UInt i = 0; i < var.size(); i++)
      |                         ~~^~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   41 |         for(UInt j = 0; j < loadings.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   48 |         for(UInt j = 0; j < scores.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   55 |         for(UInt i = 0; i < lambdas.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   61 |         for(UInt i = 0; i < variance_explained.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   67 |         for(UInt i = 0; i < cumsum_percentage.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   72 |         for(UInt i = 0; i < var.size(); i++)
      |                         ~~^~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   41 |         for(UInt j = 0; j < loadings.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   48 |         for(UInt j = 0; j < scores.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   55 |         for(UInt i = 0; i < lambdas.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   61 |         for(UInt i = 0; i < variance_explained.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   67 |         for(UInt i = 0; i < cumsum_percentage.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   72 |         for(UInt i = 0; i < var.size(); i++)
      |                         ~~^~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   41 |         for(UInt j = 0; j < loadings.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<Eigen::Matrix<double, -1, 1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   48 |         for(UInt j = 0; j < scores.size(); j++)
      |                         ~~^~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   55 |         for(UInt i = 0; i < lambdas.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   61 |         for(UInt i = 0; i < variance_explained.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   67 |         for(UInt i = 0; i < cumsum_percentage.size(); i++)
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   72 |         for(UInt i = 0; i < var.size(); i++)
      |                         ~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:730:33:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 72>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 27>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 9, 0, 3, 9>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<1, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 9, 0, 3, 9>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<1, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 108>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 36, 0, 3, 36>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<2, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 36, 0, 3, 36>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<2, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 48>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 140>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 420>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:33:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA.h:199,
                 from FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:6:
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]':
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   50 |                 for (int i = 0; i< k.size(); ++i)
      |                                 ~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]':
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   50 |                 for (int i = 0; i< k.size(); ++i)
      |                                 ~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]':
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   50 |                 for (int i = 0; i< k.size(); ++i)
      |                                 ~^~~~~~~~~~
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]':
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]':
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]':
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   50 |                 for (int i = 0; i< k.size(); ++i)
      |                                 ~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from 'struct Eigen::internal::traits<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:41:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:565:21:   required from 'Derived& Eigen::PlainObjectBase<Derived>::setZero(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:659:16:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 6, 1, 0, 6, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 6, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 6, 2> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 4, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 4, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 4, 3> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 10, 1, 0, 10, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 10, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 10, 3> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 10, 0, 10, 10>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52:   required from 'static const Eigen::MatrixBase<Derived>::BasisReturnType Eigen::MatrixBase<Derived>::Unit(Eigen::Index) [with Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>; BasisReturnType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Eigen::Index = long long int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:219:1:   required from 'const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:151:16:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7:   required from 'const Eigen::MapBase<Derived, 0>::Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28:   required from 'static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90:   required from 'static void Eigen::internal::permutation_matrix_product<ExpressionType, Side, Transposed, Eigen::SparseShape>::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix<double>; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix<double>; int Side = 2; bool Transposed = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, MatrixShape, Eigen::PermutationShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18:   required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42:   required from 'void Eigen::AMDOrdering<StorageIndex>::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix<double>; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double>*; CholMatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:471:35:   required from 'Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:96:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:57:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:56:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:31:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:22:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:79:13:   required from 'static void Eigen::internal::permutation_matrix_product<ExpressionType, Side, Transposed, Eigen::SparseShape>::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix<double>; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix<double>; int Side = 2; bool Transposed = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, MatrixShape, Eigen::PermutationShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 2, 2> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:37:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:67:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 3, 3> >'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8:   required from 'struct Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 2>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51:   required from 'typename Eigen::MatrixBase<Derived>::cross_product_return_type<OtherDerived>::type Eigen::MatrixBase<Derived>::cross(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; typename cross_product_return_type<OtherDerived>::type = Eigen::Matrix<double, 3, 1>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:42:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10:   required from 'typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<4, 3, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:110:26:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Eigen::Matrix<double, (mydim + 1), 1>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:24:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from 'Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 4, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteLUT<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, 3>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50:   required from 'struct Eigen::internal::sparse_solve_triangular_selector<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 2, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DstType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DecType = Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34:   required from 'void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix<typename ResultType::Scalar, 3, 1>&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>; typename ResultType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:22:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 3>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 2>; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 2>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Rhs = Eigen::Matrix<double, 3, 2>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 3, 2>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::findLocationTree(const Point<ndim>&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10:   required from 'typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type MeshHandler<ORDER, mydim, ndim>::findLocation(const Point<ndim>&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if<isManifold, Element<how_many_nodes(ORDER, mydim), mydim, ndim> >::type = Element<3, 2, 3>]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67:   required from 'void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59:   required from 'void MixedFEFPCABase::SetAndFixParameters(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54:   required from 'SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:294:
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122,
                 from FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12:
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Global_Utilities/Source/Lambda.cpp -o Global_Utilities/Source/Lambda.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Global_Utilities/Source/../Include/../../FdaPDE.h:32,
                 from Global_Utilities/Source/../Include/Lambda.h:4,
                 from Global_Utilities/Source/Lambda.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Global_Utilities/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Global_Utilities/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Global_Utilities/Source/../Include/Lambda.h:20:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Global_Utilities/Source/../Include/Lambda.h:20:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Inference/Source/Inference_Data.cpp -o Inference/Source/Inference_Data.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Inference/Source/../Include/../../FdaPDE.h:32,
                 from Inference/Source/../Include/Inference_Data.h:4,
                 from Inference/Source/Inference_Data.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Inference/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Inference/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Inference/Source/../Include/Inference_Data.h:23:12:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Inference/Source/../Include/Inference_Data.h:23:12:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Inference/Source/../Include/Inference_Data.h:27:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/Inference_Data.h:32:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Inference/Source/Inference_Data.cpp: In member function 'void InferenceData::print_inference_data() const':
Inference/Source/Inference_Data.cpp:210:19: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  210 |   for(UInt i=0; i < test_Type.size(); ++i){
      |                 ~~^~~~~~~~~~~~~~~~~~
Inference/Source/Inference_Data.cpp:215:19: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  215 |   for(UInt i=0; i < interval_Type.size(); ++i){
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~
Inference/Source/Inference_Data.cpp:220:19: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  220 |   for(UInt i=0; i < implementation_Type.size(); ++i){
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
Inference/Source/Inference_Data.cpp:225:19: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  225 |   for(UInt i=0; i < component_Type.size(); ++i){
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~~
Inference/Source/Inference_Data.cpp:233:19: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  233 |   for(UInt i=0; i < enhanced_Inference.size(); ++i){
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
Inference/Source/Inference_Data.cpp:247:19: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  247 |   for(UInt i=0; i < locs_index_Inference.size(); ++i){
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Inference/Source/Inverter.cpp -o Inference/Source/Inverter.o
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:362,
                 from Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6,
                 from Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression.h:7,
                 from Inference/Source/../Include/Inference_Carrier.h:6,
                 from Inference/Source/../Include/Inverter.h:6,
                 from Inference/Source/Inverter.cpp:1:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Inference/Source/../Include/../../FdaPDE.h:32,
                 from Inference/Source/../Include/Inverter.h:5:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Inference/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Inference/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<6, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54:   required from 'class Eigen::SparseLU<Eigen::SparseMatrix<double> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41:   required from 'struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81:   required from 'struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49:   required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16:   required from 'class Eigen::IncompleteLUT<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18:   required from 'class Eigen::IterativeSolverBase<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7:   required from 'class Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:377:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:401:13:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:403:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<double> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression.h:360:
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In member function 'void MixedFERegressionBase<InputHandler>::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)':
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:569:5: warning: this 'if' clause does not guard... [-Wmisleading-indentation]
  569 |     if (regressionData_.isSpaceTime() && !this->isIterative)
      |     ^~
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if'
  573 |         std::vector<coeff> tripletAll;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:644:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:55:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:698:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:721:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:757:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:772:234:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:104:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1, -1, -1>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1484:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:137:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:184:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:113:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
Inference/Source/Inverter.cpp:5:55:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
Inference/Source/Inverter.cpp:5:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:41:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:219:1:   required from 'const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:151:16:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7:   required from 'const Eigen::MapBase<Derived, 0>::Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28:   required from 'static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90:   required from 'static void Eigen::internal::permutation_matrix_product<ExpressionType, Side, Transposed, Eigen::SparseShape>::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix<double>; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix<double>; int Side = 2; bool Transposed = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, MatrixShape, Eigen::PermutationShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18:   required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42:   required from 'void Eigen::AMDOrdering<StorageIndex>::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix<double>; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double>*; CholMatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:471:35:   required from 'Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:96:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:79:13:   required from 'static void Eigen::internal::permutation_matrix_product<ExpressionType, Side, Transposed, Eigen::SparseShape>::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix<double>; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix<double>; int Side = 2; bool Transposed = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, MatrixShape, Eigen::PermutationShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8:   required from 'struct Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:66:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from 'Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteLUT<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50:   required from 'struct Eigen::internal::sparse_solve_triangular_selector<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 2, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DstType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DecType = Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Inference/Source/Inverter.cpp:5:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Lambda_Optimization/Source/Auxiliary_Optimizer.cpp -o Lambda_Optimization/Source/Auxiliary_Optimizer.o
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:362,
                 from Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6,
                 from Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression.h:7,
                 from Lambda_Optimization/Source/../Include/Carrier.h:8,
                 from Lambda_Optimization/Source/../Include/Auxiliary_Optimizer.h:10,
                 from Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:1:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Lambda_Optimization/Source/../Include/../../FdaPDE.h:32,
                 from Lambda_Optimization/Source/../Include/Auxiliary_Optimizer.h:7:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Lambda_Optimization/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Lambda_Optimization/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:73:124:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54:   required from 'class Eigen::SparseLU<Eigen::SparseMatrix<double> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41:   required from 'struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81:   required from 'struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49:   required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16:   required from 'class Eigen::IncompleteLUT<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18:   required from 'class Eigen::IterativeSolverBase<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7:   required from 'class Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<6, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:377:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:401:13:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:403:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<double> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression.h:360:
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In member function 'void MixedFERegressionBase<InputHandler>::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)':
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:569:5: warning: this 'if' clause does not guard... [-Wmisleading-indentation]
  569 |     if (regressionData_.isSpaceTime() && !this->isIterative)
      |     ^~
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if'
  573 |         std::vector<coeff> tripletAll;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:644:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:55:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:698:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:721:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:757:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:772:234:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:104:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1, -1, -1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1484:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:137:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:184:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:113:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:396:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:396:106:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:453:41:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:471:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:471:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:471:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:485:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:485:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:55:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>'
Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:70:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:82:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:19:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:41:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:219:1:   required from 'const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7:   required from 'const Eigen::MapBase<Derived, 0>::Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28:   required from 'static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90:   required from 'static void Eigen::internal::permutation_matrix_product<ExpressionType, Side, Transposed, Eigen::SparseShape>::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix<double>; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix<double>; int Side = 2; bool Transposed = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, MatrixShape, Eigen::PermutationShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18:   required from 'void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42:   required from 'void Eigen::AMDOrdering<StorageIndex>::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix<double>; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>; ConstCholMatrixPtr = const Eigen::SparseMatrix<double>*; CholMatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:471:35:   required from 'Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; int _UpLo = 1; _Ordering = Eigen::AMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:96:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:93:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:79:13:   required from 'static void Eigen::internal::permutation_matrix_product<ExpressionType, Side, Transposed, Eigen::SparseShape>::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix<double>; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix<double>; int Side = 2; bool Transposed = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, MatrixShape, Eigen::PermutationShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix<double>; Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product<Lhs, Rhs, 2>&) [with Lhs = Eigen::SparseMatrix<double>; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8:   required from 'struct Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:93:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61:   required from 'void Eigen::LDLT<MatrixType, UpLo>::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix<double, -1, 1>; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from 'Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteLUT<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50:   required from 'struct Eigen::internal::sparse_solve_triangular_selector<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 2, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DstType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DecType = Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Lambda_Optimization/Source/Optimization_Data.cpp -o Lambda_Optimization/Source/Optimization_Data.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Lambda_Optimization/Source/../Include/../../FdaPDE.h:32,
                 from Lambda_Optimization/Source/../Include/Optimization_Data.h:4,
                 from Lambda_Optimization/Source/Optimization_Data.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Lambda_Optimization/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Lambda_Optimization/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Lambda_Optimization/Source/../Include/Optimization_Data.h:44:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Lambda_Optimization/Source/../Include/Optimization_Data.h:44:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Mesh/Source/Rfun_MeshInputHelper.cpp -o Mesh/Source/Rfun_MeshInputHelper.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Mesh/Source/../../FdaPDE.h:32,
                 from Mesh/Source/Rfun_MeshInputHelper.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Mesh/Source/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Mesh/Source/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from Mesh/Source/../Include/Mesh_Input_Helper.h:264,
                 from Mesh/Source/Rfun_MeshInputHelper.cpp:3:
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'std::vector<int> simplex_container<mydim>::how_many_neighbors(UInt) const [with int mydim = 1; UInt = int]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:216:62:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:196:22: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<simplex<1>, std::allocator<simplex<1> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  196 |      while( curr_idx < simplexes.size() && simplexes[index] == simplexes[curr_idx] )
      |             ~~~~~~~~~^~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::assemble_subs(SEXP, UInt) const [with int mydim = 2; SEXP = SEXPREC*; UInt = int]':
Mesh/Source/Rfun_MeshInputHelper.cpp:20:29:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:127:20: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  127 |     for(UInt i=0; i<distinct_indexes.size(); ++i)
      |                   ~^~~~~~~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::mark_boundary(SEXP, UInt) const [with int mydim = 2; SEXP = SEXPREC*; UInt = int]':
Mesh/Source/Rfun_MeshInputHelper.cpp:21:29:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:138:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  138 |   for(UInt i=0; i<distinct_indexes.size()-1; ++i)
      |                 ~^~~~~~~~~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:142:73: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  142 |   boundarymarkers[distinct_indexes.size()-1] = distinct_indexes.back()+1==duplicates.size() || !duplicates[distinct_indexes.back()+1];
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::compute_neighbors(SEXP, UInt) const [with int mydim = 2; SEXP = SEXPREC*; UInt = int]':
Mesh/Source/Rfun_MeshInputHelper.cpp:22:33:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:152:19: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<simplex<2>, std::allocator<simplex<2> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  152 |   for (UInt i=0; i<simplexes.size(); ++i)
      |                  ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::assemble_subs(SEXP, UInt) const [with int mydim = 3; SEXP = SEXPREC*; UInt = int]':
Mesh/Source/Rfun_MeshInputHelper.cpp:102:29:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:127:20: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  127 |     for(UInt i=0; i<distinct_indexes.size(); ++i)
      |                   ~^~~~~~~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::mark_boundary(SEXP, UInt) const [with int mydim = 3; SEXP = SEXPREC*; UInt = int]':
Mesh/Source/Rfun_MeshInputHelper.cpp:103:29:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:138:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  138 |   for(UInt i=0; i<distinct_indexes.size()-1; ++i)
      |                 ~^~~~~~~~~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:142:73: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  142 |   boundarymarkers[distinct_indexes.size()-1] = distinct_indexes.back()+1==duplicates.size() || !duplicates[distinct_indexes.back()+1];
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::compute_neighbors(SEXP, UInt) const [with int mydim = 3; SEXP = SEXPREC*; UInt = int]':
Mesh/Source/Rfun_MeshInputHelper.cpp:104:33:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:152:19: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<simplex<3>, std::allocator<simplex<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  152 |   for (UInt i=0; i<simplexes.size(); ++i)
      |                  ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::assemble_subs(SEXP, UInt) const [with int mydim = 1; SEXP = SEXPREC*; UInt = int]':
Mesh/Source/Rfun_MeshInputHelper.cpp:190:31:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:127:20: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  127 |     for(UInt i=0; i<distinct_indexes.size(); ++i)
      |                   ~^~~~~~~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::mark_boundary(SEXP, UInt) const [with int mydim = 1; SEXP = SEXPREC*; UInt = int]':
Mesh/Source/Rfun_MeshInputHelper.cpp:191:31:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:138:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  138 |   for(UInt i=0; i<distinct_indexes.size()-1; ++i)
      |                 ~^~~~~~~~~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:142:73: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  142 |   boundarymarkers[distinct_indexes.size()-1] = distinct_indexes.back()+1==duplicates.size() || !duplicates[distinct_indexes.back()+1];
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 6; int mydim = 2]':
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 6; int mydim = 2; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:19:71:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:18:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::array<int, 6>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   18 |      for(UInt j=0; j<ORDERING.size()/mydim; ++j){
      |                    ~^~~~~~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 3]':
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 3; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:101:74:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:18:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::array<int, 12>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 2]':
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 2; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:133:74:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:18:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::array<int, 12>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 2; int mydim = 1]':
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 2; int mydim = 1; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:189:69:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:18:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::array<int, 2>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::bin_sort() [with int mydim = 2]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 6; int mydim = 2]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 6; int mydim = 2; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:19:71:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:38:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<simplex<2>, std::allocator<simplex<2> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   38 |   for(UInt i=0; i<simplexes.size(); ++i)
      |                 ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:43:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   43 |   for(UInt i=0; i<positions.size(); ++i){
      |                 ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::store_indexes() [with int mydim = 2]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:29:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 6; int mydim = 2]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 6; int mydim = 2; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:19:71:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:113:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  113 |   for(UInt i=0; i<duplicates.size(); ++i)
      |                 ~^~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::bin_sort() [with int mydim = 3]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 3]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 3; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:101:74:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:38:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<simplex<3>, std::allocator<simplex<3> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   38 |   for(UInt i=0; i<simplexes.size(); ++i)
      |                 ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:43:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   43 |   for(UInt i=0; i<positions.size(); ++i){
      |                 ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::store_indexes() [with int mydim = 3]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:29:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 3]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 3; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:101:74:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:113:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  113 |   for(UInt i=0; i<duplicates.size(); ++i)
      |                 ~^~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::bin_sort() [with int mydim = 1]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 2; int mydim = 1]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 2; int mydim = 1; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:189:69:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:38:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<simplex<1>, std::allocator<simplex<1> > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   38 |   for(UInt i=0; i<simplexes.size(); ++i)
      |                 ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:43:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   43 |   for(UInt i=0; i<positions.size(); ++i){
      |                 ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::store_indexes() [with int mydim = 1]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:29:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 2; int mydim = 1]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 2; int mydim = 1; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:189:69:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:113:18: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  113 |   for(UInt i=0; i<duplicates.size(); ++i)
      |                 ~^~~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::bin_sort_(UInt, std::vector<int>&) [with int mydim = 2; UInt = int]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:41:3:   required from 'void simplex_container<mydim>::bin_sort() [with int mydim = 2]'
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 6; int mydim = 2]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 6; int mydim = 2; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:19:71:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:61:20: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   61 |     for(UInt i=0; i<positions.size(); ++i){
      |                   ~^~~~~~~~~~~~~~~~~
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::bin_sort_(UInt, std::vector<int>&) [with int mydim = 3; UInt = int]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:41:3:   required from 'void simplex_container<mydim>::bin_sort() [with int mydim = 3]'
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 3]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 12; int mydim = 3; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:101:74:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:61:20: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of 'void simplex_container<mydim>::bin_sort_(UInt, std::vector<int>&) [with int mydim = 1; UInt = int]':
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:41:3:   required from 'void simplex_container<mydim>::bin_sort() [with int mydim = 1]'
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3:   required from 'void simplex_container<mydim>::fill_container(const std::array<int, SIZE>&) [with long long unsigned int SIZE = 2; int mydim = 1]'
Mesh/Source/../Include/Mesh_Input_Helper.h:58:93:   required from 'simplex_container<mydim>::simplex_container(SEXP, SEXP, const std::array<int, SIZE>&) [with long long unsigned int SIZE = 2; int mydim = 1; SEXP = SEXPREC*]'
Mesh/Source/Rfun_MeshInputHelper.cpp:189:69:   required from here
Mesh/Source/../Include/Mesh_Input_Helper_imp.h:61:20: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Regression/Source/Regression_Data.cpp -o Regression/Source/Regression_Data.o
In file included from Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:362,
                 from Regression/Source/../Include/Regression_Data.h:5,
                 from Regression/Source/Regression_Data.cpp:1:
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Regression/Source/../Include/../../FdaPDE.h:32,
                 from Regression/Source/../Include/Regression_Data.h:4:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Regression/Source/../Include/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Regression/Source/../Include/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Regression/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Regression/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Regression/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Regression/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<6, 2, 2>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33:   required from 'class Element<10, 3, 3>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Regression/Source/../Include/Regression_Data.h:18:16:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Regression/Source/../Include/Regression_Data.h:18:16:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
Regression/Source/../Include/Regression_Data.h:34:12:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/Regression_Data.cpp: In member function 'void RegressionData::setObservationsTime(SEXP)':
Regression/Source/Regression_Data.cpp:150:14: warning: unused variable 'count' [-Wunused-variable]
  150 |         UInt count = 0;
      |              ^~~~~
Regression/Source/Regression_Data.cpp: In member function 'void RegressionData::setCovariates(SEXP)':
Regression/Source/Regression_Data.cpp:182:51: warning: comparison of integer expressions of different signedness: 'std::vector<int>::size_type' {aka 'long long unsigned int'} and 'UInt' {aka 'int'} [-Wsign-compare]
  182 |                         if(observations_na_.size()>k && i==observations_na_[k])
      |                            ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; OtherDerived = Eigen::Matrix<double, -1, 1>; bool IsVector = false; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:384:60:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:398:25:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::NoChange_t) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
Regression/Source/Regression_Data.cpp:129:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:57:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from 'Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from 'Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; OtherDerived = Eigen::Matrix<double, -1, 1>; bool IsVector = false; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:384:60:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:398:25:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index, Eigen::NoChange_t) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
Regression/Source/Regression_Data.cpp:129:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Regression/Source/Rfun_Auxiliary.cpp -o Regression/Source/Rfun_Auxiliary.o
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:362,
                 from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6,
                 from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:5,
                 from Regression/Source/Rfun_Auxiliary.cpp:2:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Regression/Source/../../FdaPDE.h:32,
                 from Regression/Source/Rfun_Auxiliary.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Regression/Source/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Regression/Source/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<6, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/Rfun_Auxiliary.cpp: In function 'SEXPREC* get_FEM_mass_matrix(SEXP, SEXP, SEXP, SEXP)':
Regression/Source/Rfun_Auxiliary.cpp:61:18: warning: this 'if' clause does not guard... [-Wmisleading-indentation]
   61 |             else if(order==2 && ndim==3 && mydim ==3)
      |                  ^~
Regression/Source/Rfun_Auxiliary.cpp:64:17: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if'
   64 |                 return(NILSXP);
      |                 ^~~~~~
Regression/Source/Rfun_Auxiliary.cpp: In function 'SEXPREC* get_FEM_stiff_matrix(SEXP, SEXP, SEXP, SEXP)':
Regression/Source/Rfun_Auxiliary.cpp:92:18: warning: this 'if' clause does not guard... [-Wmisleading-indentation]
   92 |             else if(order==2 && ndim==3 && mydim ==3)
      |                  ^~
Regression/Source/Rfun_Auxiliary.cpp:95:17: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if'
   95 |                 return(NILSXP);
      |                 ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:30:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:23:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:23:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 72>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:23:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:23:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 27>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 9, 0, 3, 9>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<1, 2, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 9, 0, 3, 9>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<1, 2, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:30:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 108>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 36, 0, 3, 36>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<2, 2, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:27:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 36, 0, 3, 36>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<2, 2, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:27:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 48>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:30:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 140>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:31:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:31:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 420>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:31:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:31:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 6, 1, 1, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 6, 1, 1, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 6, 1, 1, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 6, 1, 1, 6>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 1, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 1, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 6, 0, 2, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 6, 0, 2, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 6, 0, 2, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 6, 0, 2, 6>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<1, 1, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 1, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 15>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 5, 3, 0, 5, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 1, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 5, 3, 0, 5, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 1, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 15, 1, 1, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 15, 1, 1, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 15, 1, 1, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 15, 1, 1, 15>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 1, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 15, 0, 2, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 15, 0, 2, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 15, 0, 2, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 15, 0, 2, 15>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55:   required from 'class FiniteElementData<2, 1, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Point_imp.h:48:17:   required from 'Point<NDIM>& Point<ndim>::operator+=(const Point<ndim>&) [with int ndim = 2]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:23:6:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Point_imp.h:48:17:   required from 'Point<NDIM>& Point<ndim>::operator+=(const Point<ndim>&) [with int ndim = 3]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:23:6:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 6, 1, 0, 6, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 6, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 6, 2> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 4>, 1, 4, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 4, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 4, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 10, 1, 0, 10, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 10, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 10, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:47:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 2, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:175:47:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:56:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 3, 3> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:43:23:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:58:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:58:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51:   required from 'typename Eigen::MatrixBase<Derived>::cross_product_return_type<OtherDerived>::type Eigen::MatrixBase<Derived>::cross(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; typename cross_product_return_type<OtherDerived>::type = Eigen::Matrix<double, 3, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:42:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:336:21:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:59:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:43:23:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:79:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:81:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:83:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:85:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:87:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:89:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:91:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:93:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:60:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:344:32:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:79:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:81:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:83:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:85:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:87:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:89:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:91:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:93:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>; ExpressionType = Eigen::Matrix<double, 2, 3>; StorageBase = Eigen::MatrixBase]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseMatrix<double, 1, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseMatrix<double, 1, int>; Functor = Eigen::internal::assign_op<double, double>; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; Derived = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:43:23:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:58:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:79:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:81:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:83:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:85:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:87:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:89:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:91:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50:   required from 'Real FiniteElement<ORDER, mydim, ndim>::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26:   required from 'Real Stiff::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:93:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:21:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, 3>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:336:25:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:50:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:58:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34:   required from 'void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix<typename ResultType::Scalar, 3, 1>&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>; typename ResultType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 2>; Rhs = Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 2>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 3>; Rhs = Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:58:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:29:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:52:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:54:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:56:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:60:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:62:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>; ExpressionType = Eigen::Matrix<double, 2, 3>; StorageBase = Eigen::MatrixBase]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>; ExpressionType = Eigen::Matrix<double, 2, 3>; StorageBase = Eigen::MatrixBase]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>; ExpressionType = Eigen::Matrix<double, 2, 3>; StorageBase = Eigen::MatrixBase]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>; ExpressionType = Eigen::Matrix<double, 2, 3>; StorageBase = Eigen::MatrixBase]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Rhs = Eigen::Matrix<double, 3, 2>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 3, 2>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>; ExpressionType = Eigen::Matrix<double, 2, 3>; StorageBase = Eigen::MatrixBase]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>; ExpressionType = Eigen::Matrix<double, 2, 3>; StorageBase = Eigen::MatrixBase]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>; ExpressionType = Eigen::Matrix<double, 2, 3>; StorageBase = Eigen::MatrixBase]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35:   required from 'SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Auxiliary.cpp:25:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:294:
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122,
                 from Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12,
                 from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:7:
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Regression/Source/Rfun_Regression_Laplace.cpp -o Regression/Source/Rfun_Regression_Laplace.o
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:362,
                 from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:6,
                 from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:7,
                 from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:8,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:5,
                 from Regression/Source/Rfun_Regression_Laplace.cpp:2:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Regression/Source/../../FdaPDE.h:32,
                 from Regression/Source/Rfun_Regression_Laplace.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Regression/Source/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Regression/Source/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<6, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:97:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54:   required from 'class Eigen::SparseLU<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:53:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41:   required from 'struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81:   required from 'struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49:   required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:116:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16:   required from 'class Eigen::IncompleteLUT<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18:   required from 'class Eigen::IterativeSolverBase<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7:   required from 'class Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:160:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:352:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:377:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:401:13:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:403:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:551:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:360:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In member function 'void MixedFERegressionBase<InputHandler>::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:569:5: warning: this 'if' clause does not guard... [-Wmisleading-indentation]
  569 |     if (regressionData_.isSpaceTime() && !this->isIterative)
      |     ^~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if'
  573 |         std::vector<coeff> tripletAll;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:644:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:651:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:55:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:698:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:721:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:757:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:772:234:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:801:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:104:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1, -1, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:33:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1038:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1484:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:137:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:184:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:113:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:106:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:41:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:109:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44:   recursively required by substitution of 'template<class Rhs> const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Rhs> Eigen::SolverBase<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >::solve(const Eigen::MatrixBase<Derived>&) const [with Rhs = <missing>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:105:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:119:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:124:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89:   recursively required by substitution of 'template<class Rhs> const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Rhs> Eigen::SolverBase<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >::solve(const Eigen::MatrixBase<Derived>&) const [with Rhs = <missing>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:168:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:169:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:170:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:171:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:57:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:306:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, 1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:67:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:19:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:208:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:200:68: warning: typedef 'FunWr' locally defined but not used [-Wunused-local-typedefs]
  200 |   typedef Function_Wrapper<Real, Real, Real, Real, EvaluationType> FunWr;
      |                                                                    ^~~~~
In file included from Regression/Source/Rfun_Regression_Laplace.cpp:3:
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In function 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:311:100: warning: typedef 'FunWr' locally defined but not used [-Wunused-local-typedefs]
  311 |         typedef Function_Wrapper<lambda::type<2>, Real, lambda::type<2>, MatrixXr, EvaluationType> FunWr;
      |                                                                                                    ^~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from Regression/Source/Rfun_Regression_Laplace.cpp:4:
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
   20 |         UInt count = 0;
      |              ^~~~~
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:242:51:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:244:51:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:246:51:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:248:51:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:250:51:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:252:51:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:254:51:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
In file included from Regression/Source/Rfun_Regression_Laplace.cpp:5:
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:319:56:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
   16 |     constexpr UInt SPLINE_DEGREE =
      |                    ^~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:321:56:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:323:56:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:325:56:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:327:56:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:329:56:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:331:56:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_Laplace.cpp:333:56:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:75:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:40:   required from 'Inference_Carrier<InputHandler>::Inference_Carrier(const InputHandler*, const MixedFERegressionBase<InputHandler>*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  556 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:174:63:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:176:63:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:178:63:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:180:63:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:182:63:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:184:63:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:186:63:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 72>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 27>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 9, 0, 3, 9>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:73:55:   required from 'class FiniteElementData<1, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 9, 0, 3, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:73:55:   required from 'class FiniteElementData<1, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:10:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:37:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:67:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 108>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 36, 0, 3, 36>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:73:55:   required from 'class FiniteElementData<2, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 36, 0, 3, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:73:55:   required from 'class FiniteElementData<2, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 48>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:34:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 140>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 420>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 6, 1, 1, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 6, 1, 1, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<1, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 6, 0, 2, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 6, 0, 2, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:73:55:   required from 'class FiniteElementData<1, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<1, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:17:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:44:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:74:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 15>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 5, 3, 0, 5, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:65:50:   required from 'class FiniteElementData<2, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 5, 3, 0, 5, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:65:50:   required from 'class FiniteElementData<2, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 15, 1, 1, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 15, 1, 1, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:69:56:   required from 'class FiniteElementData<2, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 15, 0, 2, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 15, 0, 2, 15> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:73:55:   required from 'class FiniteElementData<2, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:87:7:   required from 'class FiniteElement<2, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:951:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:14:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:597:18:   required from 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:12:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:62:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:57:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:59:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:348:17:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:352:43:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:537:40: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  537 |                         for(UInt i=0; i<regressionData_.getObservationsIndices()->size(); ++i)
      |                                       ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:551:52:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:422,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:7:
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1303:61:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:42:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1344:53:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1244:10: warning: unused variable 'delta' [-Wunused-variable]
 1244 |     Real delta = mesh_time_[1] - mesh_time_[0]; // Time interval
      |          ^~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:45:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:109:91:   required from 'void GCV_Family<InputCarrier, size>::compute_z_hat_from_f_hat(const VectorXr&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; int size = 1; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:84:15:   required from 'void GCV_Family<InputCarrier, size>::combine_output_prediction(const VectorXr&, output_Data<size>&, UInt) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; int size = 1; VectorXr = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:15:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:39:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:635:55:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:651:74:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:29:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:40:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:58:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:57:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 3, 1>'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:187:1:   required from 'const Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase<ArrayWrapper<Matrix<double, 3, 1> > >::Scalar&, const ArrayBase<ArrayWrapper<Matrix<double, 3, 1> > >&)'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:190:56:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:190:31:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:190:22:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 4, 1>'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:187:1:   required from 'const Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase<ArrayWrapper<Matrix<double, 4, 1> > >::Scalar&, const ArrayBase<ArrayWrapper<Matrix<double, 4, 1> > >&)'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from 'struct Eigen::internal::traits<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:350:34:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:411:27:   required from 'Real Element<NNODES, 1, 2>::evaluate_point(const Point<2>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:350:25:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:411:27:   required from 'Real Element<NNODES, 1, 2>::evaluate_point(const Point<2>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 2, 1>'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:196:1:   required from 'const Eigen::ArrayBase<Derived>::RCmpLTReturnType Eigen::ArrayBase<Derived>::operator>(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >; RCmpLTReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >; Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:29:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
  263 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1044:43:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionData; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1050:44:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionData; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
  263 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionData, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionData, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:8:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h:40:58:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:611:32:   required from 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:183:70:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_pseudoObs(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:92:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:308:68:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:311:53:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:219:1:   required from 'const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7:   required from 'const Eigen::MapBase<Derived, 0>::Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28:   required from 'static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:93:13:   required from 'void MixedFERegressionBase<InputHandler>::addNA() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:455:9:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:9:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:9:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:39:39:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:94:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:47:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:43:47:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1452:39:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:64:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1473:114:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1483:99:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1343:34:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1499:85:   required from 'void MixedFERegressionBase<InputHandler>::update_rhs(UInt&, Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1353:21:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:713:29:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:453:26:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 2, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:56:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 3, 3> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52:   required from 'static const Eigen::MatrixBase<Derived>::BasisReturnType Eigen::MatrixBase<Derived>::Unit(Eigen::Index) [with Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>; BasisReturnType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Eigen::Index = long long int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:336:21:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:59:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:657:32:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator-=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >; Derived = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1038:25:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionData; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; CarrierType = Carrier<RegressionData, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionData, Temporal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; CarrierType = Carrier<RegressionData, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51:   required from 'typename Eigen::MatrixBase<Derived>::cross_product_return_type<OtherDerived>::type Eigen::MatrixBase<Derived>::cross(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>; typename cross_product_return_type<OtherDerived>::type = Eigen::Matrix<double, 3, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:42:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, 4, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 4, 1>; U = Eigen::Matrix<double, 4, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 4, 1>; Derived = Eigen::Matrix<double, 4, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:110:26:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Eigen::Matrix<double, (mydim + 1), 1>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:24:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 14>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 5>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1, 0, 5, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 5, 1, 0, 5, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 5, 1, 0, 5, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:801:65:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:35:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:867:22:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:869:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  869 |     for (int i = 0; i < k->size(); ++i) {
      |                     ~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:98:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8:   required from 'struct Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:60:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:344:32:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced>, 1>; CarrierType = Carrier<RegressionData, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced>, 1>; CarrierType = Carrier<RegressionData, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData>, 1>; CarrierType = Carrier<RegressionData>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData>, 1>; CarrierType = Carrier<RegressionData>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:11:   required from 'Inference_Carrier<InputHandler>::Inference_Carrier(const InputHandler*, const MixedFERegressionBase<InputHandler>*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 2>; CarrierType = Carrier<RegressionData, Temporal, Forced>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 2>; CarrierType = Carrier<RegressionData, Temporal, Forced>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal>, 2>; CarrierType = Carrier<RegressionData, Temporal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal>, 2>; CarrierType = Carrier<RegressionData, Temporal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from 'Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:464:52:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:469:65:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:46:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:466:47:   required from 'void GCV_Exact<InputCarrier, 2>::set_ddS_and_trddS_mxd_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:787:15:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:76:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:56:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:518:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; CarrierType = Carrier<RegressionData, Temporal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; CarrierType = Carrier<RegressionData, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; CarrierType = Carrier<RegressionData, Temporal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; CarrierType = Carrier<RegressionData, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteLUT<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h:73:24:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunctionDerivative_impl(UInt, UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h:42:68:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunctionDerivative(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h:44:67:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::time_mass_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:63:47:   required from 'static void Assembler::operKernel(const Spline<DEGREE, ORDER_DERIVATIVE>&, SpMat&) [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1665:26:   required from 'void MixedSplineRegression<InputHandler>::setTimeMass() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:432:21:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:24:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 4, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 2, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 2, 1, false>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 5, 3, 0, 5, 3>, 5, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 5, 1, 0, 5, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:940:26:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomStochastic(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:713:13:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:336:25:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 5, 3, 0, 5, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\finite_element.h:93:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true>, const Eigen::Block<const Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Pde_Expression_Templates.h:72:13:   required from 'Real EOExpr<Stiff>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:66:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, 3>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:22:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 9, 0, 3, 9>, 3, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 36, 0, 3, 36>, 3, 6, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34:   required from 'void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix<typename ResultType::Scalar, 3, 1>&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>; typename ResultType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 6, 0, 2, 6>, 2, 2, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 6, 1, 1, 6>, 1, 2, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 15, 0, 2, 15>, 2, 3, false>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, Eigen::Block<Eigen::Matrix<double, 1, 15, 1, 1, 15>, 1, 3, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:93:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50:   required from 'struct Eigen::internal::sparse_solve_triangular_selector<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 2, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DstType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DecType = Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 2, 1>; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 2, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:40:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:635:24:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 2, 1>, Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:111:   required from 'bool Element<NNODES, 1, 2>::isPointInside(const Point<2>&) const [with int NNODES = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:52:15:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:112:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Matrix<double, -1, -1>; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, true, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71:   required from 'static void Eigen::internal::generic_product_impl<Eigen::Inverse<Derived>, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse<Derived>&, const Rhs&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Lhs = Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; XprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   required from 'Eigen::internal::evaluator<Eigen::Solve<Decomposition, RhsType> >::evaluator(const SolveType&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; RhsType = Eigen::SparseMatrix<double>; SolveType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:85:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix<double>; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, long long int>; _Scalar = double; int _Options = 0; _StorageIndex = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17:   required from 'static void Eigen::internal::sparse_sparse_to_dense_product_selector<Lhs, Rhs, ResultType, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 1, long long int>; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:81:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 3> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:975:24:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:89:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:190:22:   required from 'Eigen::Matrix<double, 3, 1> Element<NNODES, 2, 3>::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:299:25:   required from 'Real Element<NNODES, 2, 3>::evaluate_point(const Point<3>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Matrix<double, 1, 2> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Matrix<double, 1, 2>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 1, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 2, 1> >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:350:25:   required from 'Eigen::Matrix<double, 2, 1> Element<NNODES, 1, 2>::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:411:27:   required from 'Real Element<NNODES, 1, 2>::evaluate_point(const Point<2>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:23:   required from 'void Element<NNODES, 1, 2>::computeProperties() [with int NNODES = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:299:46:   required from 'Element<NNODES, 1, 2>::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array<Point<2>, 2>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:173:12:   required from 'MeshHandler<ORDER, 1, 2>::meshElement MeshHandler<ORDER, 1, 2>::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:91:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionData; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1577:54:   required from 'void MixedFERegression<RegressionData>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, true, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71:   required from 'static void Eigen::internal::generic_product_impl<Eigen::Inverse<Derived>, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse<Derived>&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 3>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:172:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 2>; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 2>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:87:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, 3, 2>, Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:104:   required from 'bool Element<NNODES, 2, 3>::isPointInside(const Point<3>&) const [with int NNODES = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Rhs = Eigen::Matrix<double, 3, 2>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 3, 2>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionData, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1, 3, true> >, const Eigen::Block<const Eigen::Matrix<double, 3, 2>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:20:   required from 'void Element<NNODES, 2, 3>::computeProperties() [with int NNODES = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:197:39:   required from 'Element<NNODES, 2, 3>::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array<Point<3>, 3>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:83:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_Laplace.cpp:79:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionData>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_Laplace.cpp:240:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:342:47:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:26:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:44:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:71:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:64:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:455:34:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:468:32:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1003:65:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:46:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:33:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:519:41:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:49:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:25:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:35:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:540:31:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:578:31:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip.h:121,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:17:
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:598:36: warning: comparison of integer expressions of different signedness: 'long unsigned int' and 'const UInt' {aka 'const int'} [-Wsign-compare]
  598 |       for(unsigned long int j=0; j < n_loc; ++j){
      |                                  ~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:100:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:109:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:61:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:53:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:61:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:53:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1190:8: warning: unused variable 'q' [-Wunused-variable]
 1190 |   UInt q = this->inf_car.getq();
      |        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:100:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:25:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:130:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:112:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:42:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:65:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:69:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:79:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:33:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:18:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:444:49:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:68:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:56:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:56:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Forced>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:406:39:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:40:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:24:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:56:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:44:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:62:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:78:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:83:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:22:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:36:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:54:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:62:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:67:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:22:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:56:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:33:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:25:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:58:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionData, Temporal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:31:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:48:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:304:62:   required from 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:41:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionData>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionData, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionData, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::addDirichletBC_matrix() [with InputHandler = RegressionData]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1075:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::apply_to_b(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:234:55:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply_to_b(const MatrixXr&, lambda::type<2>) [with InputHandler = RegressionData; Extensions = {Temporal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1014:44:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:60:35: warning: unused variable 'bc_values' [-Wunused-variable]
   60 |         const std::vector<Real> * bc_values = regressionData_.getDirichletValues();
      |                                   ^~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer.h:438,
                 from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:6:
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
  203 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
  147 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable 'ret' [-Wunused-variable]
  229 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable 'ret' [-Wunused-variable]
  174 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionData, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from 'Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; Rhs = const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; RhsType = const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>; Lhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>]'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1:   required from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type, typename Eigen::internal::traits<T>::Scalar>, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type>::type, const Derived> Eigen::operator*(const T&, const SparseMatrixBase<Derived>::StorageBaseType&) [with T = double; Derived = Block<const SparseMatrix<double>, 1, -1, false>; typename internal::plain_constant_type<Derived, typename internal::promote_scalar_arg<typename internal::traits<T>::Scalar, T, internal::has_ReturnType<ScalarBinaryOpTraits<T, typename internal::traits<T>::Scalar, internal::scalar_product_op<T, typename internal::traits<T>::Scalar> > >::value>::type>::type = CwiseNullaryOp<internal::scalar_constant_op<double>, const Matrix<double, 1, -1> >; typename internal::promote_scalar_arg<typename internal::traits<T>::Scalar, T, internal::has_ReturnType<ScalarBinaryOpTraits<T, typename internal::traits<T>::Scalar, internal::scalar_product_op<T, typename internal::traits<T>::Scalar> > >::value>::type = double; typename internal::traits<T>::Scalar = double; typename internal::traits<T>::Scalar = double; SparseMatrixBase<Derived>::StorageBaseType = SparseMatrixBase<Block<const SparseMatrix<double>, 1, -1, false> >]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:29:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
  203 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
  147 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionData, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:894:57:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:649:18:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:239:12:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double> >; int ProductType = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:12:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:17:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionData, Temporal, Areal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:337:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionData, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionData, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionData, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:294:
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree.h:122,
                 from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh.h:12,
                 from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:13:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionData, Temporal>, 1>; CarrierType = Carrier<RegressionData, Temporal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal>, 1>; CarrierType = Carrier<RegressionData, Temporal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionData, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionData, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Temporal, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionData>, 1>; CarrierType = Carrier<RegressionData>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData>, 1>; CarrierType = Carrier<RegressionData>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Areal>, 1>; CarrierType = Carrier<RegressionData, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionData, Forced>, 1>; CarrierType = Carrier<RegressionData, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced>, 1>; CarrierType = Carrier<RegressionData, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionData, Forced, Areal>, 1>; CarrierType = Carrier<RegressionData, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Regression/Source/Rfun_Regression_PDE.cpp -o Regression/Source/Rfun_Regression_PDE.o
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:362,
                 from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6,
                 from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:5,
                 from Regression/Source/Rfun_Regression_PDE.cpp:2:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Regression/Source/../../FdaPDE.h:32,
                 from Regression/Source/Rfun_Regression_PDE.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Regression/Source/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Regression/Source/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<6, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:97:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54:   required from 'class Eigen::SparseLU<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:53:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41:   required from 'struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81:   required from 'struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49:   required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:116:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16:   required from 'class Eigen::IncompleteLUT<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18:   required from 'class Eigen::IterativeSolverBase<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7:   required from 'class Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:160:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:352:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:377:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:401:13:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:403:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:551:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:360,
                 from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:8,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:5,
                 from Regression/Source/Rfun_Regression_PDE.cpp:3:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In member function 'void MixedFERegressionBase<InputHandler>::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:569:5: warning: this 'if' clause does not guard... [-Wmisleading-indentation]
  569 |     if (regressionData_.isSpaceTime() && !this->isIterative)
      |     ^~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if'
  573 |         std::vector<coeff> tripletAll;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:644:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:651:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:55:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:698:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:721:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:757:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:772:234:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:801:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:104:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1, -1, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:33:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1038:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1484:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:137:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:184:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:113:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:106:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:41:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:109:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44:   recursively required by substitution of 'template<class Rhs> const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Rhs> Eigen::SolverBase<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >::solve(const Eigen::MatrixBase<Derived>&) const [with Rhs = <missing>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:105:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:119:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:124:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89:   recursively required by substitution of 'template<class Rhs> const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Rhs> Eigen::SolverBase<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >::solve(const Eigen::MatrixBase<Derived>&) const [with Rhs = <missing>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:168:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:169:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:170:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:171:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:57:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:306:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, 1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:67:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:19:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:208:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:200:68: warning: typedef 'FunWr' locally defined but not used [-Wunused-local-typedefs]
  200 |   typedef Function_Wrapper<Real, Real, Real, Real, EvaluationType> FunWr;
      |                                                                    ^~~~~
In file included from Regression/Source/Rfun_Regression_PDE.cpp:4:
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In function 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:311:100: warning: typedef 'FunWr' locally defined but not used [-Wunused-local-typedefs]
  311 |         typedef Function_Wrapper<lambda::type<2>, Real, lambda::type<2>, MatrixXr, EvaluationType> FunWr;
      |                                                                                                    ^~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from Regression/Source/Rfun_Regression_PDE.cpp:5:
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
   20 |         UInt count = 0;
      |              ^~~~~
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE.cpp:238:52:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE.cpp:244:52:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE.cpp:246:52:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
In file included from Regression/Source/Rfun_Regression_PDE.cpp:6:
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE.cpp:317:58:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
   16 |     constexpr UInt SPLINE_DEGREE =
      |                    ^~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE.cpp:321:58:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE.cpp:325:58:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE.cpp:329:58:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 72>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 48>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 140>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 420>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:75:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:40:   required from 'Inference_Carrier<InputHandler>::Inference_Carrier(const InputHandler*, const MixedFERegressionBase<InputHandler>*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  556 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:171:71:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:177:71:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:179:71:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:34:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:14:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:597:18:   required from 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 6, 1, 0, 6, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 6, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 6, 2> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 4>, 1, 4, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 4, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 4, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 10, 1, 0, 10, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 10, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 10, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:12:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:62:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:57:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:59:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:348:17:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:352:43:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:537:40: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  537 |                         for(UInt i=0; i<regressionData_.getObservationsIndices()->size(); ++i)
      |                                       ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:551:52:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:422,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:7:
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1303:61:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:42:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1344:53:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1244:10: warning: unused variable 'delta' [-Wunused-variable]
 1244 |     Real delta = mesh_time_[1] - mesh_time_[0]; // Time interval
      |          ^~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:45:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:109:91:   required from 'void GCV_Family<InputCarrier, size>::compute_z_hat_from_f_hat(const VectorXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:84:15:   required from 'void GCV_Family<InputCarrier, size>::combine_output_prediction(const VectorXr&, output_Data<size>&, UInt) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; VectorXr = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:15:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:39:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:635:55:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:651:74:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:29:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:40:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:58:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:57:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 3, 1>'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:187:1:   required from 'const Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase<ArrayWrapper<Matrix<double, 3, 1> > >::Scalar&, const ArrayBase<ArrayWrapper<Matrix<double, 3, 1> > >&)'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:57:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 4, 1>'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:187:1:   required from 'const Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase<ArrayWrapper<Matrix<double, 4, 1> > >::Scalar&, const ArrayBase<ArrayWrapper<Matrix<double, 4, 1> > >&)'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from 'struct Eigen::internal::traits<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
  263 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1044:43:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1050:44:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
  263 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
In file included from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler.h:8,
                 from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:6:
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]':
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:40:58:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:611:32:   required from 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:183:70:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_pseudoObs(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:92:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:308:68:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:311:53:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:219:1:   required from 'const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7:   required from 'const Eigen::MapBase<Derived, 0>::Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28:   required from 'static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:93:13:   required from 'void MixedFERegressionBase<InputHandler>::addNA() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:455:9:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:9:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:9:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:39:39:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:94:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:47:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:43:47:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1452:39:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:64:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1473:114:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1483:99:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1343:34:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1499:85:   required from 'void MixedFERegressionBase<InputHandler>::update_rhs(UInt&, Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1353:21:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:713:29:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:453:26:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 2, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 3, 3> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52:   required from 'static const Eigen::MatrixBase<Derived>::BasisReturnType Eigen::MatrixBase<Derived>::Unit(Eigen::Index) [with Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>; BasisReturnType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Eigen::Index = long long int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:657:32:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator-=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >; Derived = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1038:25:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, 4, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 4, 1>; U = Eigen::Matrix<double, 4, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 4, 1>; Derived = Eigen::Matrix<double, 4, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:110:26:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Eigen::Matrix<double, (mydim + 1), 1>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:24:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 14>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:801:65:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:35:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:867:22:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:869:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  869 |     for (int i = 0; i < k->size(); ++i) {
      |                     ~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:98:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8:   required from 'struct Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic>, 1>; CarrierType = Carrier<RegressionDataElliptic>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic>, 1>; CarrierType = Carrier<RegressionDataElliptic>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:11:   required from 'Inference_Carrier<InputHandler>::Inference_Carrier(const InputHandler*, const MixedFERegressionBase<InputHandler>*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:35:35:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:35:35:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from 'Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:464:52:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:469:65:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:46:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:466:47:   required from 'void GCV_Exact<InputCarrier, 2>::set_ddS_and_trddS_mxd_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:787:15:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:76:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:56:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:518:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteLUT<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]':
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:73:24:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunctionDerivative_impl(UInt, UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:42:68:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunctionDerivative(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:44:67:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::time_mass_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:63:47:   required from 'static void Assembler::operKernel(const Spline<DEGREE, ORDER_DERIVATIVE>&, SpMat&) [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1665:26:   required from 'void MixedSplineRegression<InputHandler>::setTimeMass() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:432:21:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:24:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:80:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 4, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:88:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:940:26:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomStochastic(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:713:13:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; U = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; U = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; U = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; U = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::Constant>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:66:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, 3>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:22:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34:   required from 'void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix<typename ResultType::Scalar, 3, 1>&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>; typename ResultType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50:   required from 'struct Eigen::internal::sparse_solve_triangular_selector<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 2, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DstType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DecType = Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:635:24:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:52:15:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:112:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Matrix<double, -1, -1>; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, true, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71:   required from 'static void Eigen::internal::generic_product_impl<Eigen::Inverse<Derived>, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse<Derived>&, const Rhs&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Lhs = Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; XprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   required from 'Eigen::internal::evaluator<Eigen::Solve<Decomposition, RhsType> >::evaluator(const SolveType&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; RhsType = Eigen::SparseMatrix<double>; SolveType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix<double>; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, long long int>; _Scalar = double; int _Options = 0; _StorageIndex = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17:   required from 'static void Eigen::internal::sparse_sparse_to_dense_product_selector<Lhs, Rhs, ResultType, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 1, long long int>; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:383:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:385:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::Constant>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<EOBinOp<double, EOExpr<Mass>, EOMult> >, EOExpr<const Diffusion<PDEParameterOptions::Constant>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::Constant>&>, EOAdd>; InputHandler = RegressionDataElliptic]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1601:59:   required from 'void MixedFERegression<RegressionDataElliptic>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, true, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71:   required from 'static void Eigen::internal::generic_product_impl<Eigen::Inverse<Derived>, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse<Derived>&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 3>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:169:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:86:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE.cpp:78:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54:   required from 'void FPIRLS<InputHandler, ORDER, mydim, ndim>::apply() [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataElliptic>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE.cpp:236:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:342:47:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:26:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:44:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:71:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:64:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:455:34:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:468:32:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1003:65:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:46:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:33:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:519:41:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:49:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:25:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:35:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:540:31:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:578:31:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip.h:121,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:17:
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:598:36: warning: comparison of integer expressions of different signedness: 'long unsigned int' and 'const UInt' {aka 'const int'} [-Wsign-compare]
  598 |       for(unsigned long int j=0; j < n_loc; ++j){
      |                                  ~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:100:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:109:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:61:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:53:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:61:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:53:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1190:8: warning: unused variable 'q' [-Wunused-variable]
 1190 |   UInt q = this->inf_car.getq();
      |        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:100:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:25:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:130:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:112:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:42:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:65:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:69:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:79:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:33:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:18:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:444:49:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:68:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:56:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:56:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:406:39:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:40:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:24:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:56:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:44:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:62:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:78:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:83:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:22:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:36:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:54:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:62:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:67:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:22:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:56:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:33:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:25:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:58:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:31:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:48:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:304:62:   required from 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:41:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataElliptic>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::addDirichletBC_matrix() [with InputHandler = RegressionDataElliptic]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1075:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::apply_to_b(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:234:55:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply_to_b(const MatrixXr&, lambda::type<2>) [with InputHandler = RegressionDataElliptic; Extensions = {Temporal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1014:44:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:60:35: warning: unused variable 'bc_values' [-Wunused-variable]
   60 |         const std::vector<Real> * bc_values = regressionData_.getDirichletValues();
      |                                   ^~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer.h:438,
                 from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:6:
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
  203 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
  147 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable 'ret' [-Wunused-variable]
  229 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable 'ret' [-Wunused-variable]
  174 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from 'Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; Rhs = const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; RhsType = const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>; Lhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>]'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1:   required from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type, typename Eigen::internal::traits<T>::Scalar>, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type>::type, const Derived> Eigen::operator*(const T&, const SparseMatrixBase<Derived>::StorageBaseType&) [with T = double; Derived = Block<const SparseMatrix<double>, 1, -1, false>; typename internal::plain_constant_type<Derived, typename internal::promote_scalar_arg<typename internal::traits<T>::Scalar, T, internal::has_ReturnType<ScalarBinaryOpTraits<T, typename internal::traits<T>::Scalar, internal::scalar_product_op<T, typename internal::traits<T>::Scalar> > >::value>::type>::type = CwiseNullaryOp<internal::scalar_constant_op<double>, const Matrix<double, 1, -1> >; typename internal::promote_scalar_arg<typename internal::traits<T>::Scalar, T, internal::has_ReturnType<ScalarBinaryOpTraits<T, typename internal::traits<T>::Scalar, internal::scalar_product_op<T, typename internal::traits<T>::Scalar> > >::value>::type = double; typename internal::traits<T>::Scalar = double; typename internal::traits<T>::Scalar = double; SparseMatrixBase<Derived>::StorageBaseType = SparseMatrixBase<Block<const SparseMatrix<double>, 1, -1, false> >]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:29:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
  203 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
  147 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:894:57:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:649:18:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:239:12:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double> >; int ProductType = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:12:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:17:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:337:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataElliptic, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:294:
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122,
                 from Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12,
                 from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:7:
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataElliptic, Temporal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Temporal, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataElliptic>, 1>; CarrierType = Carrier<RegressionDataElliptic>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic>, 1>; CarrierType = Carrier<RegressionDataElliptic>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataElliptic, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataElliptic, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataElliptic, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp -o Regression/Source/Rfun_Regression_PDE_Space_Varying.o
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:362,
                 from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6,
                 from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:5,
                 from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:2:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment]
  223 |   //         | \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment]
  226 |   //         |       \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment]
  231 |   //         |                 \
      |   ^
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment]
  233 |   //         |                     \
      |   ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/StdVector:14,
                 from Regression/Source/../../FdaPDE.h:32,
                 from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:1:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from Regression/Source/../../FdaPDE.h:33:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double>'
Regression/Source/../../FdaPDE.h:48:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 6>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:246:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:248:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:351:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<6, 2, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:117:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 1, 0, 6, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 1, 0, 6, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:119:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:138:33:   required from 'class Element<10, 3, 3>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:130:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 10>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 1, 0, 10, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 1, 0, 10, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:132:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 3, 2> >, Eigen::Matrix<double, 3, 2>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:180:73:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 3, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:183:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:205:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 1>, 2, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 1>, 2, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 3, 1>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:206:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, 2, 1> >, Eigen::Matrix<double, 2, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:341:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 2, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 2, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:365:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 1>, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 2, 1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:366:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 2, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, 1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 3, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 2>, -1, 2, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 12>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 4, 3>, -1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 3>, -1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 30>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 10, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 10, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19:   required from 'class Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:97:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7:   required from 'class Eigen::MappedSparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54:   required from 'class Eigen::SparseLU<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:53:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34:   required from 'class Eigen::internal::SparseRefBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7:   required from 'class Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41:   required from 'struct Eigen::internal::is_ref_compatible_impl<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81:   required from 'struct Eigen::internal::is_ref_compatible<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49:   required from 'class Eigen::IterativeSolverBase<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7:   required from 'class Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:116:35:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16:   required from 'class Eigen::IncompleteLUT<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18:   required from 'class Eigen::IterativeSolverBase<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7:   required from 'class Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:160:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:352:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:377:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   recursively required by substitution of 'template<class InputType> Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >& Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >::compute(const Eigen::EigenBase<Derived>&) [with InputType = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:401:13:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:403:34:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:551:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:360,
                 from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:8,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:5,
                 from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:3:
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In member function 'void MixedFERegressionBase<InputHandler>::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:569:5: warning: this 'if' clause does not guard... [-Wmisleading-indentation]
  569 |     if (regressionData_.isSpaceTime() && !this->isIterative)
      |     ^~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if'
  573 |         std::vector<coeff> tripletAll;
      |         ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:644:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:651:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:55:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:60:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:698:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:721:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:757:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:772:234:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:801:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:818:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34:   required from 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:104:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1, -1, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:42:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:33:   recursively required by substitution of 'template<class OtherDerived> typename Eigen::ScalarBinaryOpTraits<double, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<double, typename Eigen::internal::traits<T>::Scalar> >::ReturnType Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >::dot(const Eigen::MatrixBase<Derived>&) const [with OtherDerived = <missing>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:936:33:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1038:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:95:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:66:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1470:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1474:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1484:126:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:137:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:184:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1543:182:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:113:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:186:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1552:139:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:106:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:41:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:59:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:109:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44:   recursively required by substitution of 'template<class Rhs> const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Rhs> Eigen::SolverBase<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >::solve(const Eigen::MatrixBase<Derived>&) const [with Rhs = <missing>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:105:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:119:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:124:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89:   recursively required by substitution of 'template<class Rhs> const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Rhs> Eigen::SolverBase<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >::solve(const Eigen::MatrixBase<Derived>&) const [with Rhs = <missing>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:168:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:169:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:170:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:171:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::SparseMatrix<double> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:57:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:87:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:306:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, 1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:67:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:19:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:208:37:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:200:68: warning: typedef 'FunWr' locally defined but not used [-Wunused-local-typedefs]
  200 |   typedef Function_Wrapper<Real, Real, Real, Real, EvaluationType> FunWr;
      |                                                                    ^~~~~
In file included from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:4:
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In function 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:311:100: warning: typedef 'FunWr' locally defined but not used [-Wunused-local-typedefs]
  311 |         typedef Function_Wrapper<lambda::type<2>, Real, lambda::type<2>, MatrixXr, EvaluationType> FunWr;
      |                                                                                                    ^~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:43:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:49:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:5:
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
   20 |         UInt count = 0;
      |              ^~~~~
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:245:64:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:251:64:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:253:64:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable 'count' [-Wunused-variable]
In file included from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:6:
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:322:69:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
   16 |     constexpr UInt SPLINE_DEGREE =
      |                    ^~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:324:69:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:326:69:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of 'SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]':
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:328:69:   required from here
Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable 'SPLINE_DEGREE' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 18>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 9, 0, 2, 9> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 9, 0, 2, 9>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 36>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 6, 6, 0, 6, 6>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 72>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 36, 0, 2, 36> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 36, 0, 2, 36>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 2, 2>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 2, 2>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 48>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 16, 0, 3, 16> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 16, 0, 3, 16>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<1, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<1, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 140>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 10, 0, 14, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 14, 10, 0, 14, 10>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 420>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 140, 0, 3, 140> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 140, 0, 3, 140>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56:   required from 'class FiniteElementData<2, 3, 3>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7:   required from 'class FiniteElement<2, 3, 3>'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 3, 1>; U = Eigen::Matrix<double, 3, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 3, 1>; Derived = Eigen::Matrix<double, 3, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:280:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 2, 1>; U = Eigen::Matrix<double, 2, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 2, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:397:28:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::PermutationMatrix<-1, -1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:75:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:40:   required from 'Inference_Carrier<InputHandler>::Inference_Carrier(const InputHandler*, const MixedFERegressionBase<InputHandler>*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  425 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |           for(auto i=0; i < sub_nodes_indices.size(); ++i){
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  546 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  551 |         for(UInt i=0; i < locations_index.size(); ++i){
      |                       ~~^~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  556 |     for(UInt i=0; i < row_indices.size(); ++i){
      |                   ~~^~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:178:83:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:184:83:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:186:83:   required from here
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 16, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:34:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 4, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:14:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:597:18:   required from 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 3>, 1, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 3, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 6, 1, 0, 6, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 6, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 6, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 6, 2> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 4, 4>, 1, 4, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 4, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 4, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 4, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 4, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 10, 1, 0, 10, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 10, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 10, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, 10, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2, 0, 3, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2, 0, 3, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 2, 0, 3, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3, 0, 4, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3, 0, 4, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 3, 0, 4, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57:   required from 'void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 2>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 3>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::SparseMatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7:   required from 'void Eigen::SparseQR<MatrixType, OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:75:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21:   required from 'Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29:   required from 'Derived& Eigen::IterativeSolverBase<Derived>::compute(const Eigen::EigenBase<OtherDerived>&) [with MatrixDerived = Eigen::SparseMatrix<double>; Derived = Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:161:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:12:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:62:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:57:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:59:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:348:17:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:352:43:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:537:40: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  537 |                         for(UInt i=0; i<regressionData_.getObservationsIndices()->size(); ++i)
      |                                       ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:551:52:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:422,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:7:
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1303:61:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:42:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1344:53:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1244:10: warning: unused variable 'delta' [-Wunused-variable]
 1244 |     Real delta = mesh_time_[1] - mesh_time_[0]; // Time interval
      |          ^~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:45:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:109:91:   required from 'void GCV_Family<InputCarrier, size>::compute_z_hat_from_f_hat(const VectorXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:84:15:   required from 'void GCV_Family<InputCarrier, size>::combine_output_prediction(const VectorXr&, output_Data<size>&, UInt) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; VectorXr = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:15:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:39:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:635:55:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:651:74:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:29:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:40:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:58:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:57:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 3, 1>'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:187:1:   required from 'const Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 3, 1> > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase<ArrayWrapper<Matrix<double, 3, 1> > >::Scalar&, const ArrayBase<ArrayWrapper<Matrix<double, 3, 1> > >&)'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:57:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:31:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 4, 1>'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:187:1:   required from 'const Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, 4, 1> > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase<ArrayWrapper<Matrix<double, 4, 1> > >::Scalar&, const ArrayBase<ArrayWrapper<Matrix<double, 4, 1> > >&)'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:86:20:   required from 'bool Element<NNODES, mydim, ndim>::isPointInside(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 100>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from 'struct Eigen::internal::traits<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:320:19:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
  263 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1044:43:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1050:44:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
  263 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39:   required from 'GCV_Exact<InputCarrier, 2>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable 'ret' [-Wunused-variable]
In file included from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler.h:8,
                 from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:6:
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]':
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:40:58:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:611:32:   required from 'void compute_nonparametric_inference_matrices_time(const MeshHandler<ORDER, mydim, ndim>&, std::vector<double>, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:183:70:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_pseudoObs(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:92:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:308:68:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double>, 2>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:311:53:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\arraycwisebinaryops.h:219:1:   required from 'const Eigen::ArrayBase<Derived>::CmpEQReturnType Eigen::ArrayBase<Derived>::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7:   required from 'const Eigen::MapBase<Derived, 0>::Scalar& Eigen::MapBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28:   required from 'static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::SparseMatrix<double> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::SparseMatrix<double> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:93:13:   required from 'void MixedFERegressionBase<InputHandler>::addNA() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:455:9:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:9:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:344:9:   required from 'void MixedFERegressionBase<InputHandler>::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1000:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:39:39:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:94:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:47:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:43:47:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1452:39:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::SparseMatrix<double>, 0>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:64:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1473:114:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1483:99:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1343:34:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1499:85:   required from 'void MixedFERegressionBase<InputHandler>::update_rhs(UInt&, Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1353:21:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:713:29:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:453:26:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 2, 2> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:12:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 3, 3> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:24:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 10, 10, 0, 10, 10>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 10, 10, 0, 10, 10> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52:   required from 'static const Eigen::MatrixBase<Derived>::BasisReturnType Eigen::MatrixBase<Derived>::Unit(Eigen::Index) [with Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>; BasisReturnType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Eigen::Index = long long int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:137:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::SparseMatrix<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:657:32:   required from 'Derived& Eigen::SparseMatrixBase<Derived>::operator-=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> > >; Derived = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1038:25:   required from 'void MixedFERegressionBase<InputHandler>::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:205:111:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable 'ret' [-Wunused-variable]
  247 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_R_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable 'ret' [-Wunused-variable]
  279 |         const UInt ret = AuxiliaryOptimizer::universal_R_setter<InputCarrier>(this->R_, this->the_carrier, this->adt, lambdaT);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, 4, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, 4, 1>, const Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, 4, 1>; U = Eigen::Matrix<double, 4, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, 4, 1>; Derived = Eigen::Matrix<double, 4, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:110:26:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Eigen::Matrix<double, (mydim + 1), 1>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:24:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 14>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 14, 1, 0, 14, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 14, 1, 0, 14, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82:   required from 'Real FiniteElement<ORDER, mydim, ndim>::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:801:65:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >, 2>'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:819:35:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:867:22:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:869:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  869 |     for (int i = 0; i < k->size(); ++i) {
      |                     ~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, 1, 2, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, 1, 3, false>; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:98:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8:   required from 'struct Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, false, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97:   required from 'bool Eigen::SparseQR<MatrixType, OrderingType>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   required from 'struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26:   required from 'void Eigen::SimplicialCholeskyBase<Derived>::_solve_impl(const Eigen::MatrixBase<OtherDerived>&, Eigen::MatrixBase<OtherDerived>&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 2, 0, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 3, 2>, -1, 2, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; Src = Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, 3, 0, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 3>, -1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:11:   required from 'Inference_Carrier<InputHandler>::Inference_Carrier(const InputHandler*, const MixedFERegressionBase<InputHandler>*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::first_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable 'ret' [-Wunused-variable]
  767 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0));
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable 'time_ret' [-Wunused-variable]
  768 |         UInt time_ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0));
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::second_updater(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 2>; T = Eigen::Matrix<double, -1, 1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable 'ret' [-Wunused-variable]
  789 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable 'time_ret' [-Wunused-variable]
  790 |         UInt time_ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat);
      |              ^~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable 'time_ret_mxd' [-Wunused-variable]
  791 |         UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd<InputCarrier>(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat);
      |              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:43:67:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:43:67:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58:   required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; HCoeffs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from 'Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:464:52:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:469:65:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:46:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:466:47:   required from 'void GCV_Exact<InputCarrier, 2>::set_ddS_and_trddS_mxd_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:787:15:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:76:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:56:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:518:50:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::first_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable 'ret' [-Wunused-variable]
  760 |         UInt ret = AuxiliaryOptimizer::universal_first_updater<InputCarrier>(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda);
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::second_updater(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60:   required from 'void GOF_updater<LambdaOptim, T>::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; T = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33:   required from 'void GOF_updater<LambdaOptim, T>::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; T = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58:   required from 'std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable 'ret' [-Wunused-variable]
  780 |         UInt ret = AuxiliaryOptimizer::universal_second_updater<InputCarrier>(this->adt, this->the_carrier, this->ddS_, this->eps_hat);
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 3, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 6, 1, 0, 6, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 6, 6, 0, 6, 6>, 1, 6, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 6, 2> >; Derived = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 4, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 4, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 10, 1, 0, 10, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, 14, 10, 0, 14, 10>, 1, 10, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; SrcXprType = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; Src = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, 10, 3> >; Derived = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2:   required from 'FiniteElementData<ORDER, mydim, ndim>::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1>'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::DiagonalPreconditioner<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11:   required from 'void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView<const Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::DiagonalPreconditioner<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:143:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22:   required from 'bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; Preconditioner = Eigen::IncompleteLUT<double>; Eigen::Index = long long int; typename Dest::RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; Derived = Eigen::Matrix<double, 3, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]':
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:73:24:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunctionDerivative_impl(UInt, UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:42:68:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::BasisFunctionDerivative(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:44:67:   required from 'Real Spline<DEGREE, ORDER_DERIVATIVE>::time_mass_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:63:47:   required from 'static void Assembler::operKernel(const Spline<DEGREE, ORDER_DERIVATIVE>&, SpMat&) [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; SpMat = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1665:26:   required from 'void MixedSplineRegression<InputHandler>::setTimeMass() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:432:21:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: 'UInt' {aka 'int'} and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
      |                                                                                   ~~^~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
   53 |                 return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2;
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Matrix<double, -1, -1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:631:24:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 6, 1, 0, 6, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 6, 1, 0, 6, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; Derived = Eigen::Matrix<double, 6, 1, 0, 6, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 6, 6, 0, 6, 6> >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 6, 6, 0, 6, 6>, 6, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 6, 1, 0, 6, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 4, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 4, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; Derived = Eigen::Matrix<double, 4, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 4, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 10, 1, 0, 10, 1>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 10, 1, 0, 10, 1>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; Derived = Eigen::Matrix<double, 10, 1, 0, 10, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 10, 10, 0, 10, 10> >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:203:51:   required from 'void MixedFERegressionBase<InputHandler>::setPsi(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:961:36:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 14, 10, 0, 14, 10>, 14, 1, true>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 14, 1, 0, 14, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33:   required from 'Real ForcingTerm::integrate(const FiniteElement<ORDER, mydim, ndim>&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42:   required from 'static void Assembler::forcingTerm(const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:987:25:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:940:26:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedomStochastic(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1, 1, 1, 1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:713:13:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array<Point<2>, 3>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 3>, 3, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:58:16:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; U = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; U = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; U = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; U = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection<PDEParameterOptions::SpaceVarying>&; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53:   required from 'void Eigen::SparseLUMatrixUReturnType<MatrixLType, MatrixUType>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix<double, int>; MatrixUType = Eigen::MappedSparseMatrix<double, 0, int>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:66:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, 3>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17:   required from 'Eigen::Index Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; BlockScalarVector = Eigen::Ref<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix<double, -1, 1>; BlockIndexVector = Eigen::Ref<Eigen::Matrix<int, -1, 1>, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36:   required from 'void Eigen::SparseQR_QProduct<SparseQRType, Derived>::evalTo(DesType&) const [with DesType = Eigen::Matrix<double, -1, 1>; SparseQRType = Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; Derived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::SparseQR_QProduct<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:425:22:   required from 'void MixedFERegressionBase<InputHandler>::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:993:9:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1542:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1544:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1550:19:   required from 'Real MixedFERegressionBase<InputHandler>::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1330:17:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57:   required from 'void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with Dest = Eigen::Matrix<double, -1, -1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34:   required from 'void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix<typename ResultType::Scalar, 3, 1>&, ResultType&) [with MatrixType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>; typename ResultType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50:   required from 'struct Eigen::internal::sparse_solve_triangular_selector<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 2, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::solveInPlace(Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25:   required from 'void Eigen::TriangularViewImpl<MatrixType, Mode, Eigen::Sparse>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DstType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; MatrixType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>; unsigned int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; DecType = Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::TriangularView<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, false>, 2>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:745:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:635:24:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 6; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:32:90:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46:   required from 'static void Eigen::internal::triangular_solver_unroller<Lhs, Rhs, Mode, LoopIndex, Size, false>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, long long int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, long long int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:52:15:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:112:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 2, 2>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 2; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29:   required from 'void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ConjugateGradient<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:121:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 5, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 5>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56:   required from 'class Eigen::TriangularViewImpl<const Eigen::SparseMatrix<double, 1, int>, 2, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::IncompleteLUT<double>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::IncompleteLUT<double>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<const Eigen::SparseMatrix<double, 1, int>, 2>, Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54:   required from 'void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; _Scalar = double; _StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::BiCGSTAB<Eigen::SparseMatrix<double>, Eigen::IncompleteLUT<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:165:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Matrix<double, -1, -1>; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, true, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71:   required from 'static void Eigen::internal::generic_product_impl<Eigen::Inverse<Derived>, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse<Derived>&, const Rhs&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Lhs = Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:656:22:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; XprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:63:10:   required from 'void Element<NNODES, mydim, ndim>::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:89:39:   required from 'Element<NNODES, mydim, ndim>::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array<Point<3>, 4>]'
Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9:   required from 'MeshHandler<ORDER, mydim, ndim>::meshElement MeshHandler<ORDER, mydim, ndim>::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from 'class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from 'class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from 'class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   required from 'Eigen::internal::evaluator<Eigen::Solve<Decomposition, RhsType> >::evaluator(const SolveType&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; RhsType = Eigen::SparseMatrix<double>; SolveType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:22:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 5>, Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5:   required from 'static void Eigen::internal::LU_kernel_bmod<SegSizeAtCompileTime>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; int SegSizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53:   required from 'void Eigen::internal::SparseLUImpl<Scalar, StorageIndex>::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long long int; ScalarVector = Eigen::Matrix<double, -1, 1>; IndexVector = Eigen::Matrix<int, -1, 1>; GlobalLU_t = Eigen::internal::LU_GlobalLU_t<Eigen::Matrix<int, -1, 1>, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7:   required from 'void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix<double>; _OrderingType = Eigen::COLAMDOrdering<int>; MatrixType = Eigen::SparseMatrix<double>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:54:17:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:715:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<const Eigen::SparseMatrix<double>, 0, Eigen::OuterStride<> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85:   required from 'Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::BlockType& Eigen::internal::sparse_matrix_block_impl<SparseMatrixType, BlockRows, BlockCols>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix<double>; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35:   required from 'typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU<Eigen::SparseMatrix<double> >; Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50:   required from 'void Eigen::SparseSolverBase<Derived>::_solve_impl(const Eigen::SparseMatrixBase<OtherDerived>&, Eigen::SparseMatrixBase<OtherDerived>&) const [with Rhs = Eigen::SparseMatrix<double>; Dest = Eigen::SparseMatrix<double>; Derived = Eigen::SparseLU<Eigen::SparseMatrix<double> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, long long int>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, long long int> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, long long int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, long long int>; _Scalar = double; int _Options = 0; _StorageIndex = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17:   required from 'static void Eigen::internal::sparse_sparse_to_dense_product_selector<Lhs, Rhs, ResultType, 1, 0>::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix<double, 1, long long int>; Rhs = Eigen::SparseMatrix<double>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix<double, -1, -1>; ActualLhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::SparseMatrix<double> > >; Rhs = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::SparseMatrix<double> >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 3, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 2> >, Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 6, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 4, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, 1, 3, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 3, 3> >, Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 10, false>; StorageBase = Eigen::MatrixBase]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70:   required from 'void FiniteElementData<ORDER, mydim, ndim>::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2:   required from 'void FiniteElementData<ORDER, mydim, ndim>::updateElement(const Element<NBASES, mydim, ndim>&) [with int ORDER = 2; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 0, -1, 1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseLU<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:58:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SparseQR<Eigen::SparseMatrix<double>, Eigen::COLAMDOrdering<int> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:79:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SimplicialLDLT<Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:100:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 16, 0, 3, 16>, 3, 1, true>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 3, 140, 0, 3, 140>, 3, 1, true>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:28:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1465:22:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 2, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 3, 1> >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 9, 0, 2, 9>, 2, 1, true>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, 2, 2>, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 36, 0, 2, 36>, 2, 1, true>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24:   required from 'Real EOBinOp<A, B, Op>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >; B = EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>; Op = EOAdd; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13:   required from 'Real EOExpr<A>::operator()(const FiniteElement<ORDER, mydim, ndim>&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; Real = double; UInt = int]'
Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16:   required from 'static void Assembler::operKernel(EOExpr<A>, const MeshHandler<ORDER, mydim, ndim>&, FiniteElement<ORDER, mydim, ndim>&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SpMat = Eigen::SparseMatrix<double>]'
Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23:   required from 'SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr<A>) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:277:5:   required from 'void MixedFERegressionBase<InputHandler>::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:968:3:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:395:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:397:7:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1326:26:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1215:15:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>, Eigen::internal::IteratorBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::SparseMatrix<double>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47:   required from 'std::array<double, 2> FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44:   required from 'static void Eigen::internal::householder_qr_inplace_blocked<MatrixQR, HCoeffs, MatrixQRScalar, InnerStrideIsOne>::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix<double, -1, -1>; HCoeffs = Eigen::Matrix<double, -1, 1>; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long long int; typename MatrixQR::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73:   required from 'void Eigen::HouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7:   required from 'Eigen::HouseholderQR<MatrixType>& Eigen::HouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14:   required from 'Eigen::HouseholderQR<MatrixType>::HouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10:   required from 'const Eigen::HouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::householderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:89:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1486:84:   required from 'void MixedFERegressionBase<InputHandler>::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1321:13:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:709:12:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::system_solve(const Eigen::MatrixBase<OtherDerived>&) [with Derived = Eigen::Matrix<double, -1, 1>; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1356:59:   required from 'MatrixXv MixedFERegressionBase<InputHandler>::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::HouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\fe_assemblers_solvers\include\solver.h:12:99:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:661:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:663:19:   required from 'void MixedFERegressionBase<InputHandler>::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\mixed_fe_regression.h:204:110:   required from 'void MixedFERegressionBase<InputHandler>::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44:   required from 'void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression<InputHandler>&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:386:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:388:17:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:528:19:   required from 'void MixedFERegressionBase<InputHandler>::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix<double, -1, 1>]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1008:2:   required from 'void MixedFERegressionBase<InputHandler>::preapply(EOExpr<A>, const ForcingTerm&, const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp<EOExpr<EOBinOp<EOExpr<const Reaction&>, EOExpr<const Diffusion<PDEParameterOptions::SpaceVarying>&>, EOAdd> >, EOExpr<const Advection<PDEParameterOptions::SpaceVarying>&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1630:71:   required from 'void MixedFERegression<RegressionDataEllipticSpaceVarying>::preapply(const MeshHandler<ORDER, mydim, ndim>&) [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, true, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71:   required from 'static void Eigen::internal::generic_product_impl<Eigen::Inverse<Derived>, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse<Derived>&, const Rhs&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Lhs = Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>; Src = Eigen::Product<Eigen::Inverse<Eigen::PermutationMatrix<-1, -1, int> >, Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, 3, 3>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25:   required from 'Real GCV_Exact<InputCarrier, 2>::compute_f(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = Eigen::Matrix<double, -1, 1>; Dtype = Eigen::Matrix<double, -1, 1>; Ctype = double; Tuple = Eigen::Matrix<double, -1, 1>; Hessian = Eigen::Matrix<double, -1, -1>; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43:   required from 'typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 2>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; typename std::enable_if<(size == 2), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<true> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<2> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86:   required from 'SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59:   required from 'struct Eigen::internal::permutation_matrix_product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Src = Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseNullaryOp<BaryCoord_functor<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, 3, 1>, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix<double, 4, 1> >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:74:22:   required from 'Eigen::Matrix<double, (mydim + 1), 1> Element<NNODES, mydim, ndim>::getBaryCoordinates(const Point<ndim>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]'
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\Mesh_Objects_imp.h:147:25:   required from 'Real Element<NNODES, mydim, ndim>::evaluate_point(const Point<ndim>&, const Eigen::Matrix<double, ndim, 1>&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43:   required from 'void compute_nonparametric_inference_matrices(const MeshHandler<ORDER, mydim, ndim>&, const InputHandler&, InferenceData&, Inference_Carrier<InputHandler>&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25:   required from 'Real GCV_Exact<InputCarrier, 1>::compute_f(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47:   required from 'typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper<Dtype, Ctype, Tuple, Hessian, Extensions>::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36:   required from 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_R_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45:   required from 'GCV_Exact<InputCarrier, 1>::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33:   required from 'typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Temporal, CarrierType>::value>, multi_bool_type<false> >::value, std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type = std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> >]'
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85:   required from 'SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:739:5:   required from 'void MixedFERegressionBase<InputHandler>::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11:   required from 'void FPIRLS_Base<InputHandler, ORDER, mydim, ndim>::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69:   required from 'void FPIRLS<RegressionDataGAM<RegressionDataEllipticSpaceVarying>, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]'
Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15:   required from 'SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM<RegressionDataEllipticSpaceVarying>; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string<char>]'
Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 2; lambda::type<size> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  606 |         UInt ret;
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:342:47:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:26:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:44:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:71:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:64:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:455:34:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:468:32:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1003:65:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:46:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:33:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:519:41:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:49:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:25:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:35:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:540:31:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:578:31:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip.h:121,
                 from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:17:
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:598:36: warning: comparison of integer expressions of different signedness: 'long unsigned int' and 'const UInt' {aka 'const int'} [-Wsign-compare]
  598 |       for(unsigned long int j=0; j < n_loc; ++j){
      |                                  ~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:100:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:109:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:61:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:53:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:61:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:53:   required from 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of 'void Eigen_Sign_Flip_Exact<InputHandler, MatrixType>::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6:   required from here
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1190:8: warning: unused variable 'q' [-Wunused-variable]
 1190 |   UInt q = this->inf_car.getq();
      |        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, const Eigen::Matrix<double, -1, 1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:100:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:25:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:130:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:112:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:42:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:65:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:69:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:79:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:33:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:18:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:444:49:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:68:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:56:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:56:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1; lambda::type<size> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable 'ret' [-Wunused-variable]
 1010 |                         UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes);
      |                              ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1049 |                                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true);
      |                                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
  576 |         UInt ret;
      |              ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:406:39:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:40:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:24:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:56:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:44:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:62:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:78:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:83:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:22:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:36:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:54:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:62:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:67:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:22:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:56:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:33:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:25:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:58:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:31:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:48:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::SparseMatrix<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:304:62:   required from 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_T_(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable 'ret' [-Wunused-variable]
  305 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable 'ret' [-Wunused-variable]
  324 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt);
      |                    ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:41:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_T_(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable 'ret' [-Wunused-variable]
  298 |         const UInt ret = AuxiliaryOptimizer::universal_T_setter<InputCarrier>(this->T_, this->the_carrier);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable 'ret' [-Wunused-variable]
  318 |         const UInt ret = AuxiliaryOptimizer::universal_V_setter<InputCarrier>(this->V_, this->T_, this->R_, this->the_carrier, this->adt);
      |                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of 'void GCV_Exact<InputCarrier, 1>::set_iter_trS_(Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; Real = double]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable 'ret' [-Wunused-variable]
  367 |                 UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false);
      |                      ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable 'nlocations' [-Wunused-variable]
  358 |         UInt nlocations = this->the_carrier.get_n_space_obs();
      |              ^~~~~~~~~~
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h: In instantiation of 'void MixedFERegressionBase<InputHandler>::addDirichletBC_matrix() [with InputHandler = RegressionDataEllipticSpaceVarying]':
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:1075:10:   required from 'MatrixXr MixedFERegressionBase<InputHandler>::apply_to_b(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:234:55:   required from 'MatrixXr Carrier<InputHandler, Extensions>::apply_to_b(const MatrixXr&, lambda::type<2>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Temporal}; MatrixXr = Eigen::Matrix<double, -1, -1>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1014:44:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\regression\include\Mixed_FE_Regression_imp.h:60:35: warning: unused variable 'bc_values' [-Wunused-variable]
   60 |         const std::vector<Real> * bc_values = regressionData_.getDirichletValues();
      |                                   ^~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer.h:438,
                 from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:6:
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
  203 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
  147 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable 'ret' [-Wunused-variable]
  229 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable 'ret' [-Wunused-variable]
  174 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78:   required from 'void GCV_Exact<InputCarrier, 2>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_matrices(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15:   required from 'void GCV_Exact<InputCarrier, 2>::update_parameters(lambda::type<2>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; lambda::type<2> = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from 'Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; Rhs = const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from 'Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; RhsType = const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>; Lhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false>]'
d:\rcompile\cranpkg\lib\4.3\rcppeigen\include\eigen\src\plugins\commoncwisebinaryops.h:50:1:   required from 'const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type, typename Eigen::internal::traits<T>::Scalar>, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<T, typename Eigen::internal::traits<T>::Scalar, Eigen::internal::scalar_product_op<T, typename Eigen::internal::traits<T>::Scalar> > >::value>::type>::type, const Derived> Eigen::operator*(const T&, const SparseMatrixBase<Derived>::StorageBaseType&) [with T = double; Derived = Block<const SparseMatrix<double>, 1, -1, false>; typename internal::plain_constant_type<Derived, typename internal::promote_scalar_arg<typename internal::traits<T>::Scalar, T, internal::has_ReturnType<ScalarBinaryOpTraits<T, typename internal::traits<T>::Scalar, internal::scalar_product_op<T, typename internal::traits<T>::Scalar> > >::value>::type>::type = CwiseNullaryOp<internal::scalar_constant_op<double>, const Matrix<double, 1, -1> >; typename internal::promote_scalar_arg<typename internal::traits<T>::Scalar, T, internal::has_ReturnType<ScalarBinaryOpTraits<T, typename internal::traits<T>::Scalar, internal::scalar_product_op<T, typename internal::traits<T>::Scalar> > >::value>::type = double; typename internal::traits<T>::Scalar = double; typename internal::traits<T>::Scalar = double; SparseMatrixBase<Derived>::StorageBaseType = SparseMatrixBase<Block<const SparseMatrix<double>, 1, -1, false> >]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:29:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
  203 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable 'ret' [-Wunused-variable]
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
  147 |                         const UInt ret =  AuxiliaryOptimizer::universal_E_setter<InputCarrier>(E_, carrier);
      |                                    ^~~
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData<InputCarrier>&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>]':
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78:   required from 'void GCV_Exact<InputCarrier, 1>::set_V_() [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23:   required from 'void GCV_Exact<InputCarrier, 1>::update_matrices(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15:   required from 'void GCV_Exact<InputCarrier, 1>::update_parameters(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6:   required from here
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable 'ret' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:894:57:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:649:18:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:239:12:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > > >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, 1024>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Sparse>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::SparseMatrix<double> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::SparseMatrix<double> >; int ProductType = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::SparseMatrix<double> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:12:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, 1, 1, false> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>; Rhs = Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::SparseMatrix<double> >, Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:17:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Areal, InputCarrier>::value>, multi_bool_type<true> >::value, int>::type = int; MatrixXr = Eigen::Matrix<double, -1, -1>; UInt = int]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59:   required from 'void GCV_Stochastic<InputCarrier, size>::update_dof(lambda::type<size>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 1; lambda::type<size> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:337:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from 'static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::SparseMatrix<double> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19:   required from 'void Speckman_Exact<InputHandler, MatrixType>::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, Eigen::Product<Eigen::SparseMatrix<double>, Eigen::Matrix<double, -1, -1>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23:   required from 'static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34:   required from 'static typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData<InputCarrier>&, Real) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; typename std::enable_if<std::is_same<multi_bool_type<std::is_base_of<Forced, InputCarrier>::value>, multi_bool_type<false> >::value, int>::type = int; VectorXr = Eigen::Matrix<double, -1, 1>; MatrixXr = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79:   required from 'void GCV_Exact<InputCarrier, 1>::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; lambda::type<1> = double]'
Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21:   required from 'void Wald_Exact<InputHandler, MatrixType>::compute_B() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8:   required from 'Real Wald_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45:   required from 'VectorXr Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 6]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11:   required from 'Real Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; Real = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_beta_hat() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Derived = Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::SparseMatrix<double>, 1, -1, false> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; int Option = 0; Scalar = double]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5:   required from 'void Eigen_Sign_Flip_Base<InputHandler, MatrixType>::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11:   required from 'MatrixXv Eigen_Sign_Flip_Base<InputHandler, MatrixType>::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; MatrixXv = Eigen::Matrix<Eigen::Matrix<double, -1, 1>, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5:   required from 'void Speckman_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5:   required from 'VectorXr Speckman_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, const Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5:   required from 'void Wald_Base<InputHandler, MatrixType>::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5:   required from 'VectorXr Wald_Base<InputHandler, MatrixType>::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix<double, -1, -1>; VectorXr = Eigen::Matrix<double, -1, 1>]'
Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:294:
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122,
                 from Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12,
                 from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:7:
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<4, 3, 3>::Element(const Element<4, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<4, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<4, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_J_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
In copy constructor 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::PlainObjectBase<Derived>&) [with Derived = Eigen::Matrix<double, 3, 3>]',
    inlined from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>&) [with _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]' at D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65,
    inlined from 'Element<10, 3, 3>::Element(const Element<10, 3, 3>&)' at d:\temp\2024_11_22_01_50_01_16053\rtmpe2nzce\r.install1196c7599131f\fdapde\src\mesh\include\mesh_objects.h:57:7,
    inlined from 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]' at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: 'obj.Element<10, 3, 3>::M_invJ_.Eigen::Matrix<double, 3, 3, 0, 3, 3>::<unnamed>.Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >::m_storage' may be used uninitialized [-Wmaybe-uninitialized]
  512 |       : Base(), m_storage(other.m_storage) { }
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function 'void ADTree<Shape>::setTree(const RNumericMatrix&, const RIntegerMatrix&) [with Shape = Element<10, 3, 3>]':
Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: 'obj' declared here
   54 |     Shape obj;
      |           ^~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Temporal, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataEllipticSpaceVarying>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Stochastic<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function 'typename std::enable_if<(size == 1), std::pair<Eigen::Matrix<double, -1, -1>, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact<Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>, 1>; CarrierType = Carrier<RegressionDataEllipticSpaceVarying, Forced, Areal>; int size = 1]':
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:257:35: warning: 'lambdaS_min' may be used uninitialized [-Wmaybe-uninitialized]
  257 |         lambdaS_init = lambdaS_min/8;
      |                        ~~~~~~~~~~~^~
Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: 'lambdaS_min' was declared here
  240 |       Real lambdaS_min;
      |            ^~~~~~~~~~~
gcc  -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -Wstrict-prototypes -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c C_Libraries/FEMtriangulation.c -o C_Libraries/FEMtriangulation.o
gcc  -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -Wstrict-prototypes -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c C_Libraries/triangle.c -o C_Libraries/triangle.o
C_Libraries/triangle.c: In function 'insertvertex':
C_Libraries/triangle.c:8059:31: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic]
 8059 |       m->lastflip->prevflip = (struct flipstacker *) &insertvertex;
      |                               ^
C_Libraries/triangle.c: In function 'undovertex':
C_Libraries/triangle.c:8722:41: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic]
 8722 |     } else if (m->lastflip->prevflip == (struct flipstacker *) &insertvertex) {
      |                                         ^
C_Libraries/triangle.c: In function 'segmentintersection':
C_Libraries/triangle.c:11101:28: warning: variable 'collinear' set but not used [-Wunused-but-set-variable]
11101 |   enum finddirectionresult collinear;
      |                            ^~~~~~~~~
C_Libraries/triangle.c: In function 'tallyencs':
C_Libraries/triangle.c:12475:7: warning: variable 'dummy' set but not used [-Wunused-but-set-variable]
12475 |   int dummy;
      |       ^~~~~
C_Libraries/triangle.c: In function 'splitencsegs':
C_Libraries/triangle.c:12541:7: warning: variable 'dummy' set but not used [-Wunused-but-set-variable]
12541 |   int dummy;
      |       ^~~~~
C_Libraries/triangle.c: In function 'incircleadapt':
C_Libraries/triangle.c:5672:20: warning: 'cytablen' may be used uninitialized [-Wmaybe-uninitialized]
 5672 |       temp16alen = scale_expansion_zeroelim(cytablen, cytab, cdytail, temp16a);
      |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
C_Libraries/triangle.c:5175:57: note: 'cytablen' was declared here
 5175 |   int axtbclen, aytbclen, bxtcalen, bytcalen, cxtablen, cytablen;
      |                                                         ^~~~~~~~
C_Libraries/triangle.c:5575:20: warning: 'bytcalen' may be used uninitialized [-Wmaybe-uninitialized]
 5575 |       temp16alen = scale_expansion_zeroelim(bytcalen, bytca, bdytail, temp16a);
      |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
C_Libraries/triangle.c:5175:37: note: 'bytcalen' was declared here
 5175 |   int axtbclen, aytbclen, bxtcalen, bytcalen, cxtablen, cytablen;
      |                                     ^~~~~~~~
C_Libraries/triangle.c:5478:20: warning: 'aytbclen' may be used uninitialized [-Wmaybe-uninitialized]
 5478 |       temp16alen = scale_expansion_zeroelim(aytbclen, aytbc, adytail, temp16a);
      |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
C_Libraries/triangle.c:5175:17: note: 'aytbclen' was declared here
 5175 |   int axtbclen, aytbclen, bxtcalen, bytcalen, cxtablen, cytablen;
      |                 ^~~~~~~~
C_Libraries/triangle.c:5436:20: warning: 'axtbclen' may be used uninitialized [-Wmaybe-uninitialized]
 5436 |       temp16alen = scale_expansion_zeroelim(axtbclen, axtbc, adxtail, temp16a);
      |                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
C_Libraries/triangle.c:5175:7: note: 'axtbclen' was declared here
 5175 |   int axtbclen, aytbclen, bxtcalen, bytcalen, cxtablen, cytablen;
      |       ^~~~~~~~
gcc  -I"D:/RCompile/recent/R-4.3.3/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -Wstrict-prototypes -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c FdaPDE_init.c -o FdaPDE_init.o
g++ -shared -s -static-libgcc -o fdaPDE.dll tmp.def Density_Estimation/Source/Rfun_Density_Estimation.o FE_Assemblers_Solvers/Source/FEM_Eval.o FE_Assemblers_Solvers/Source/Integration.o FE_Assemblers_Solvers/Source/Kronecker_Product.o FPCA/Source/FPCA_Data.o FPCA/Source/FPCA_Object.o FPCA/Source/Mixed_FE_FPCA.o FPCA/Source/Rfun_Smooth_FPCA.o Global_Utilities/Source/Lambda.o Inference/Source/Inference_Data.o Inference/Source/Inverter.o Lambda_Optimization/Source/Auxiliary_Optimizer.o Lambda_Optimization/Source/Optimization_Data.o Mesh/Source/Rfun_MeshInputHelper.o Regression/Source/Regression_Data.o Regression/Source/Rfun_Auxiliary.o Regression/Source/Rfun_Regression_Laplace.o Regression/Source/Rfun_Regression_PDE.o Regression/Source/Rfun_Regression_PDE_Space_Varying.o C_Libraries/FEMtriangulation.o C_Libraries/triangle.o ./FdaPDE_init.o -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R-4.3.3/bin/x64 -lR
make[1]: Leaving directory '/d/temp/2024_11_22_01_50_01_16053/Rtmpe2NzCE/R.INSTALL1196c7599131f/fdaPDE/src'
make[1]: Entering directory '/d/temp/2024_11_22_01_50_01_16053/Rtmpe2NzCE/R.INSTALL1196c7599131f/fdaPDE/src'
make[1]: Leaving directory '/d/temp/2024_11_22_01_50_01_16053/Rtmpe2NzCE/R.INSTALL1196c7599131f/fdaPDE/src'
installing via 'install.libs.R' to d:/Rcompile/CRANpkg/lib/4.3/00LOCK-fdaPDE/00new/fdaPDE
** R
** data
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* MD5 sums
packaged installation of 'fdaPDE' as fdaPDE_1.1-20.zip
* DONE (fdaPDE)